sdnlabra2
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+x+xShow me the full code and a data file showing duplicates. Name the images that are supposedly repeated although they shouldn't be. One thing, since you're doing this all in a single block: You already sample 118 items each from picture.faces and picture.doors in the 236 encoding trials. The picture elements are set to sample randomly without replacement, so when the the recogintition phase begins, there are only 129 items left in picture.faces' selection pool and only 108 in picture.doors'. Obviously, these will be sampled first during the recognition phase -- you're sampling without replacement after all. At some point the selection pools have to reset because no unsampled items are left. All items are then availble for sampling again for the remainder of the recognition phase. So, you need to make sure to reset the two picture element's selection pools before the recognition phase begins. The only place where you can do that is the retrieval instructions trial, so something like: <trial retrieval_instructions> / ontrialbegin = [ picture.faces.resetselection(); picture.doors.resetselection(); ] / stimulusframes = [1=retrieval_instructions; 2=button.continue] / inputdevice = mouse / validresponse = (continue) </trial> That worked!! THANK YOU SO MUCH!! We couldn't have done it without you. You are THE supreme being.
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Dave
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+xShow me the full code and a data file showing duplicates. Name the images that are supposedly repeated although they shouldn't be. One thing, since you're doing this all in a single block: You already sample 118 items each from picture.faces and picture.doors in the 236 encoding trials. The picture elements are set to sample randomly without replacement, so when the the recogintition phase begins, there are only 129 items left in picture.faces' selection pool and only 108 in picture.doors'. Obviously, these will be sampled first during the recognition phase -- you're sampling without replacement after all. At some point the selection pools have to reset because no unsampled items are left. All items are then availble for sampling again for the remainder of the recognition phase. So, you need to make sure to reset the two picture element's selection pools before the recognition phase begins. The only place where you can do that is the retrieval instructions trial, so something like: <trial retrieval_instructions> / ontrialbegin = [ picture.faces.resetselection(); picture.doors.resetselection(); ] / stimulusframes = [1=retrieval_instructions; 2=button.continue] / inputdevice = mouse / validresponse = (continue) </trial>
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sdnlabra2
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+x+x+x+x+x+x+x+x+xHi all, My colleagues and I are attempting to run a study on Inquisit that contains two trials. The participant is meant to never see the same image twice within the second trial, yet we keep seeing duplicates within this trial. There are enough images so that none need to be shown twice, and we do not have this issue within the first trial. Is there any code we can use in the script to ensure there are not any duplicates? You'll actually have to provide the relevant code, nobody can tell you what you need to do without it. Oh, that makes sense. Here is the relevant code: <trial encoding> / ontrialbegin = [ if (list.pics.nextvalue == picture.doors){ values.key_1 = "1"; values.key_2 = "2"; } else { values.key_1 = "8"; values.key_2 = "9"; } ] / stimulusframes = [1=list.pics; 2=scancode] / validresponse = (values.key_1, values.key_2) </trial> <surveypage recognition> / questions = [1=slider.rating] / showpagenumbers = false / showquestionnumbers = false / stimulusframes = [1=noreplace(picture.doors,picture.faces); 2=text.studied; 3=text.notstudied] </surveypage> <block full> / trials = [1=instructions; 2-237=noreplace(trial.encoding); 238=retrieval_instructions; 239-711=noreplace(recognition)] Sorry, those few snippets say absolutely nothing about how many pictures there are, whether there are enough items, etc. Nor does it make clear what you are actually referring to as "first" trial and what you are referring to as "second" trial in your original post. Provide something that can actually run please and is sufficiently complete to make sense of. Please also make clear what exactly you are referring to. For what it's worth, however, this here / stimulusframes = [ 1=noreplace(picture.doors,picture.faces); 2=text.studied; 3=text.notstudied] will not work; it does not, for example, guarantee that across however many instances of the surveypage you run, half of them will display the "doors" stimulus, and the other half the "faces" stimulus. Selection modes in /stimulustimes and -frames simply don't work that way, and should generally be avoided. Here is the full code excluding two item sections, <item faces> (247 images) and <item doors> (226 images): Thanks for your help. <text scancode> / items = ("for doors: press 1 (single) or 2 (double) for faces: press 8 (parent of a 13-17 year old) or 9 (NOT a parent of a 13-17 year old)") / position = (40%, 75%) </text> <picture faces> /items = item.faces /position = (50%,30%) /size = (50%,50%) /select = noreplace </picture> <picture doors> /items = item.doors /position = (50%,30%) /size = (50%,50%) /select = noreplace </picture> <list pics> /items = (picture.doors,picture.faces) / selectionmode = random / replace = false / poolsize = 236 / itemprobabilities = [ .5;.5 ] </list> <values> /key_1 = "" /key_2 = "" </values> <trial encoding> / ontrialbegin = [ if (list.pics.nextvalue == picture.doors){ values.key_1 = "1"; values.key_2 = "2"; } else { values.key_1 = "8"; values.key_2 = "9"; } ] / stimulusframes = [1=list.pics; 2=scancode] / validresponse = (values.key_1, values.key_2) </trial> <surveypage recognition> / questions = [1=slider.rating] / showpagenumbers = false / showquestionnumbers = false / stimulusframes = [1=noreplace(picture.doors,picture.faces); 2=text.studied; 3=text.notstudied] </surveypage> <block full> / trials = [1=instructions; 2-237=noreplace(trial.encoding); 238=retrieval_instructions; 239-711=noreplace(surveypage.recognition)] </block> <text studied> / items = ("STUDIED") / position = (30%,86%) / size = (10%, 10%) </text> <text notstudied> / items = ("DID NOT STUDY") / position = (74%,86%) / size = (10%, 10%) </text> <slider rating> /labels = ("definitely old", "maybe old", "maybe new", "definitely new") / subcaptionfontstyle = (2.5%) / range = (0,3) / slidersize = (50%,30%) / showticks = true / required = false / position = (25%, 75%) / defaultresponse = 0 </slider> <text instructions> /items = ("In this task, you will be shown a series of pictures. If you see a door, Press 1 if it is a single door or 2 if it is a double door. If you see a face, Press 8 if it DOES look like the parent of a 13-17 year old, or 9 if it does NOT look like the parent of a 13-17 year old. Press the Continue button to begin.") / position = (50%, 50%) </text> <trial instructions> / stimulusframes = [1=instructions, button.continue] / validresponse = (continue) / inputdevice = mouse </trial> <button continue> /caption = "Continue" /size = (10%,5%) /position = (50%,75%) </button> <text retrieval_instructions> /items = ("Now you will be shown a second series of pictures, although this time, your job is to figure out whether you saw the image in the last series or not. You will have four response options: 'definitely old' means you are sure you saw the picture earlier, 'maybe old' means you think you saw the picture earlier, 'maybe new' means you don't think you saw the picture earlier, and 'definitely new' means you are sure that you did not see the picture earlier. Press Continue to begin.") / position = (50%, 50%) </text> <trial retrieval_instructions> / stimulusframes = [1=retrieval_instructions; 2=button.continue] / inputdevice = mouse / validresponse = (continue) </trial> In short, what you'll want to do is have two recognition surveypages, one displaying only the "doors" stimulus, another one displaying only the "faces" stimulus. Then sample from these in the desired ratio (247:226); 247 and 226 have no common denominator greater than 1, so you'll have spell that noreplace() pool out in full. <block full> / trials = [1=instructions; 2-237=noreplace(trial.encoding); 238=retrieval_instructions; 239-711=noreplace(recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, 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recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors)] </block> Hi Dave, sorry for the trouble. We tried this, but we are still getting some images twice and others zero times for the recognition part. We just want to show each of the 473 images once in a random order. This is what we have right now. Any suggestions? ... <surveypage recognition_faces> / questions = [1=slider.rating] / showpagenumbers = false / showquestionnumbers = false / stimulusframes=[1=picture.faces; 2=text.studied; 3=text.notstudied] </surveypage> <surveypage recognition_doors> / questions = [1=slider.rating] / showpagenumbers = false / showquestionnumbers = false / stimulusframes=[1=picture.doors; 2=text.studied; 3=text.notstudied] </surveypage> <block full> / trials = [1=instructions; 2-237=noreplace(trial.encoding); 238=retrieval_instructions; 239-711=noreplace(surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, 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surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors)] </block> Show me the full code and a data file showing duplicates. Name the images that are supposedly repeated although they shouldn't be. <item faces> /1="_rf3.jpg" /2="number_2_001817.jpg" /3="number_3_generated_photos_5e6859666d3b380006e751d5.jpg" /4="number_4_generated_photos_5f1821ef1f67b000068273d3.jpg" /5="number_6_generated_photos_5f18357a1f67b000068836ae.jpg" /6="000929.jpg" /7="003281.jpg" /8="1-000003 - Copy_1.jpg" /9="1-000003 - Copy_gf.jpg" /10="1-000003 - Copy-0.jpg" /11="number_5-download-16.jpg" /12="1-000003 - Copy_copy.jpg" /13="1-000003.jpg" /14="002633.jpg" /15="1-000003 - Copy_42.jpg" /16="1-000003 - Copy_23.jpg" /17="002445.jpg" /18="download-68.jpg" /19="number_10_00000 (18).jpg" /20="number_7_generated_photos_5f18064d1f67b00006797433.jpg" /21="number_8_5e683d456d3b380006e0f60f.jpg" /22="number_9_5e6842b66d3b380006e230d7.jpg" /23="5e683d196d3b380006e0ec23.jpg" /24="5e685f8f6d3b380006e8b603.jpg" /25="5e687fc06d3b380006f00707.jpg" /26="5e6888326d3b380006f1f3b1.jpg" /27="000021.jpg" /28="5e6843186d3b380006e246cd.jpg" 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/62="5e6807fe6d3b380006d533d5.jpg" /63="5f1806d31f67b00006799fbc.jpg" /64="number_19_00000 (6).jpg" /65="number_24_generated_photos_5e685f786d3b380006e8b0f7.jpg" /66="number_23_generated_photos_5e68798a6d3b380006ee9541.jpg" /67="number_25_generated_photos_5e687bac6d3b380006ef140f.jpg" /68="000518.jpg" /69="000397.jpg" /70="5e68548d6d3b380006e63841.jpg" /71="5e687f626d3b380006eff1af.jpg" /72="5e682c546d3b380006dd4381.jpg" /73="5f180d451f67b000067bcdba.jpg" /74="5f181ca81f67b0000680ddc8.jpg" /75="number_28_generated_photos_5f180ffa1f67b000067cba1b.jpg" /76="number_29_generated_photos_5f8979845bec8300083bea44.jpg" /77="number_30_generated_photos_5e6869326d3b380006eae4e5.jpg" /78="number_31_generated_photos_5f1801e71f67b0000677f9a9.jpg" /79="number_32_generated_photos_5f18134e1f67b000067ddd06.jpg" /80="5e6859fc6d3b380006e77365.jpg" /81="5f89723b5bec830008393b77.jpg" /82="5f8981765bec8300083ebd6e.jpg" /83="5f1805461f67b00006791a9c.jpg" /84="5e685aab6d3b380006e79a29.jpg" 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/201="number_121_1656366861496.jpg" /202="number_178_1656366083165.jpg" /203="number_175_1657403341414.jpg" /204="generated_photos_5e686aa26d3b380006eb37df.png.jpg" /205="generated_photos_5f182ef91f67b00006865ebe.png.jpg" /206="generated_photos_5e682ef96d3b380006ddd639.png.jpg" /207="generated_photos_5e68767e6d3b380006ede1a1.png.jpg" /208="generated_photos_5e684cbd6d3b380006e47587.png.jpg" /209="5e6888cb6d3b380006f21665.jpg" /210="number_182_generated_photos_5e6887c86d3b380006f1db8b.jpg" /211="number_183__1656180594094.jpg" /212="number_184_656180207847.jpg" /213="number_181_generated_photos_5e68648d6d3b380006e9d287.jpg" /214="000194.jpg" /215="000338.jpg" /216="5e6888796d3b380006f203eb.jpg" /217="000530.jpg" /218="5e6876e96d3b380006edf98d.jpg" /219="5e6888666d3b380006f1ff85.jpg" /220="000050.jpg" /221="001250.jpg" /222="image_10.jpg" /223="image_13.jpg" /224="image_15.jpg" /225="image_17.jpg" /226="image_18.jpg" /227="image_19.jpg" /228="image_2.jpg" /229="image_20.jpg" /230="image_24.jpg" /231="image_25.jpg" /232="image_26.jpg" /233="image_27.jpg" /234="image_29.jpg" /235="image_3.jpg" /236="image_9.jpg" /237="image_1_2.jpg" /238="image_12_2.jpg" /239="image_14_2.jpg" /240="image_16_2.jpg" /241="image_21_2.jpg" /242="image_22_2.jpg" /243="image_30_2.jpg" /244="image_4_2.jpg" /245="image_5_2.jpg" /246="image_6_2.jpg" /247="image_7_2.jpg" </item>
<item doors> /1="AD_001.jpg" /2="AD_002.jpg" /3="AD_003.jpg" /4="AD_004.jpg" /5="AD_005.jpg" /6="AD_006.jpg" /7="AD_008_cropped.jpg" /8="AD_009.jpg" /9="AD_010_cropped.jpg" /10="AD_012.jpg" /11="AD_013.jpg" /12="AD_014.jpg" /13="AD_015.jpg" /14="AD_016.jpg" /15="AD_018.jpg" /16="AD_019.jpg" /17="AD_020.jpg" /18="AD_021.jpg" /19="AD_024.jpg" /20="AD_028.jpg" /21="AD_029.jpg" /22="AD_030.jpg" /23="AD_031.jpg" /24="AD_032.jpg" /25="AD_033.jpg" /26="AD_034.jpg" /27="AD_036.jpg" /28="AD_037.jpg" /29="AD_038.jpg" /30="AD_039.jpg" /31="AD_040.jpg" /32="AD_041_cropped.jpg" /33="AD_042.jpg" /34="AD_044_cropped.jpg" /35="AD_045.jpg" /36="AD_046.jpg" /37="AD_047.jpg" /38="AD_048.jpg" /39="AD_049.jpg" /40="AD_050.jpg" /41="AD_051.jpg" /42="AD_052.jpg" /43="AD_053.jpg" /44="AD_054.jpg" /45="AD_056.jpg" /46="AD_057.jpg" /47="AD_059.jpg" /48="AD_060.jpg" /49="AD_061.jpg" /50="AD_064_cropped.jpg" /51="AD_065.jpg" /52="AD_066_cropped.jpg" /53="AD_067_cropped.jpg" /54="AD_069.jpg" /55="AD_070.jpg" /56="AD_071.jpg" /57="AD_072_cropped.jpg" /58="AD_073.jpg" /59="AD_076.jpg" /60="AD_077_cropped.jpg" /61="AD_078.jpg" /62="AD_079.jpg" /63="AD_081.jpg" /64="AD_082.jpg" /65="AD_083.jpg" /66="AD_084.jpg" /67="AD_087.jpg" /68="AD_088_cropped.jpg" /69="AD_089_cropped.jpg" /70="AD_091_cropped.jpg" /71="AD_092.jpg" /72="AD_093.jpg" /73="AD_094.jpg" /74="AD_095_cropped.jpg" /75="AD_096_cropped.jpg" /76="AD_097.jpg" /77="AD_099.jpg" /78="AD_100.jpg" /79="AD_101.jpg" /80="AD_102_cropped.jpg" /81="AD_104.jpg" /82="AD_105_cropped.jpg" /83="AD_106.jpg" /84="AD_107.jpg" /85="AD_108.jpg" /86="AD_109_cropped.jpg" /87="AD_111_cropped.jpg" /88="AD_113.jpg" /89="AD_115.jpg" /90="AD_117.jpg" /91="AD_118.jpg" /92="AD_120.jpg" /93="BD_121.jpg" /94="BD_122.jpg" /95="BD_123.jpg" /96="BD_124.jpg" /97="BD_125.jpg" /98="BD_126.jpg" /99="BD_127.jpg" /100="BD_130.jpg" /101="BD_132_cropped.jpg" /102="BD_133.jpg" /103="BD_135.jpg" /104="BD_136.jpg" /105="BD_140.jpg" /106="BD_141.jpg" /107="BD_142.jpg" /108="BD_143.jpg" /109="BD_144.jpg" /110="BD_145.jpg" /111="BD_146.jpg" /112="BD_147.jpg" /113="BD_149_cropped.jpg" /114="BD_150.jpg" /115="BD_151.jpg" /116="BD_152.jpg" /117="BD_153.jpg" /118="BD_154.jpg" /119="BD_155.jpg" /120="BD_156.jpg" /121="BD_157.jpg" /122="BD_158.jpg" /123="BD_159.jpg" /124="BD_160.jpg" /125="BD_161.jpg" /126="BD_162.jpg" /127="BD_163.jpg" /128="BD_164_cropped.jpg" /129="BD_166.jpg" /130="BD_167.jpg" /131="BD_168.jpg" /132="BD_169.jpg" /133="BD_170.jpg" /134="BD_171.jpg" /135="BD_172.jpg" /136="BD_173.jpg" /137="BD_174.jpg" /138="BD_175.jpg" /139="BD_176.jpg" /140="BD_177.jpg" /141="BD_179_cropped.jpg" /142="BD_181_cropped.jpg" /143="BD_183.jpg" /144="BD_185_cropped.jpg" /145="BD_186_cropped.jpg" /146="BD_187_cropped.jpg" /147="BD_192.jpg" /148="BD_194.jpg" /149="BD_195.jpg" /150="BD_197.jpg" /151="BD_198.jpg" /152="BD_200.jpg" /153="BD_202_cropped.jpg" /154="BD_203_cropped.jpg" /155="BD_205.jpg" /156="BD_207.jpg" /157="BD_208_cropped.jpg" /158="BD_209.jpg" /159="BD_210.jpg" /160="BD_212.jpg" /161="BD_216.jpg" /162="BD_218.jpg" /163="BD_219.jpg" /164="BD_220_cropped.jpg" /165="BD_221_cropped.jpg" /166="BD_222.jpg" /167="BD_223.jpg" /168="BD_224.jpg" /169="BD_225.jpg" /170="BD_226.jpg" /171="BD_227.jpg" /172="BD_228.jpg" /173="BD_229.jpg" /174="BD_230.jpg" /175="BD_231.jpg" /176="BD_232.jpg" /177="BD_233_cropped.jpg" /178="BD_234.jpg" /179="BD_235.jpg" /180="BD_236.jpg" /181="BD_237.jpg" /182="BD_238.jpg" /183="BD_239.jpg" /184="BD_240.jpg" /185="edited_DD_AB_06.jpg" /186="edited_DD_AB_07.jpg" /187="edited_DD_AB_08.jpg" /188="edited_DD_AB_09.jpg" /189="edited_DD_EN_02.jpg" /190="edited_DD_EN_03.jpg" /191="edited_DD_EN_06.jpg" /192="edited_DD_EN_09.jpg" /193="edited_DD_KD_02.jpg" /194="edited_DD_KD_03.jpg" /195="edited_DD_KD_06.jpg" /196="edited_DD_KD_07.jpg" /197="edited_DD_KD_12.jpg" /198="edited_DD_TA_02.jpg" /199="edited_DD_TA_05.jpg" /200="edited_DD_TA_06.jpg" /201="edited_DD_TA_08.jpg" /202="edited_DD_TA_11.jpg" /203="edited_SD_AB_01.jpg" /204="edited_SD_AB_02.jpg" /205="edited_SD_AB_03.jpg" /206="edited_SD_AB_04.jpg" /207="edited_SD_AB_05.jpg" /208="edited_SD_EN_01.jpg" /209="edited_SD_EN_04.jpg" /210="edited_SD_EN_07.jpg" /211="edited_SD_EN_08.jpg" /212="edited_SD_EN_10.jpg" /213="edited_SD_IT_01.jpg" /214="edited_SD_IT_07.jpg" /215="edited_SD_IT_09.jpg" /216="edited_SD_IT_10.jpg" /217="edited_SD_KD_01.jpg" /218="edited_SD_KD_04.jpg" /219="edited_SD_KD_08.jpg" /220="edited_SD_KD_09.jpg" /221="edited_SD_KD_11.jpg" /222="edited_SD_TA_03.jpg" /223="edited_SD_TA_04.jpg" /224="edited_SD_TA_07.jpg" /225="edited_SD_TA_10.jpg" /226="edited_SD_TA_12.jpg" </item>
<text scancode> / items = ("for doors: press 1 (single) or 2 (double) for faces: press 8 (parent of a 13-17 year old) or 9 (NOT a parent of a 13-17 year old)") / position = (40%, 75%) </text>
<picture faces> /items = item.faces /position = (50%,30%) /size = (50%,50%) /select = noreplace / selectionrate = always </picture>
<picture doors> /items = item.doors /position = (50%,30%) /size = (50%,50%) /select = noreplace / selectionrate = always </picture>
<list pics> /items = (picture.doors,picture.faces) / selectionmode = random /replace=false / poolsize = 236 / itemprobabilities = [ .5;.5 ] </list>
<values> /key_1 = "" /key_2 = "" </values>
<trial encoding> / ontrialbegin = [ if (list.pics.nextvalue == picture.doors){ values.key_1 = "1"; values.key_2 = "2"; } else { values.key_1 = "8"; values.key_2 = "9"; } ]
/ stimulusframes = [1=list.pics; 2=scancode] / validresponse = (values.key_1, values.key_2) </trial>
<surveypage recognition_faces> / questions = [1=slider.rating] / showpagenumbers = false / showquestionnumbers = false / stimulusframes=[1=picture.faces; 2=text.studied; 3=text.notstudied] </surveypage>
<surveypage recognition_doors> / questions = [1=slider.rating] / showpagenumbers = false / showquestionnumbers = false / stimulusframes=[1=picture.doors; 2=text.studied; 3=text.notstudied] </surveypage>
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</block>
<text studied> / items = ("STUDIED") / position = (30%,86%) / size = (10%, 10%) </text>
<text notstudied> / items = ("DID NOT STUDY") / position = (74%,86%) / size = (10%, 10%) </text>
<slider rating> /labels = ("definitely old", "maybe old", "maybe new", "definitely new") / subcaptionfontstyle = (2.5%) / range = (0,3) / slidersize = (50%,30%) / showticks = true / required = false / position = (25%, 75%) / defaultresponse = 0 </slider>
<text instructions> /items = ("In this task, you will be shown a series of pictures.
If you see a door, Press 1 if it is a single door or 2 if it is a double door.
If you see a face, Press 8 if it DOES look like the parent of a 13-17 year old, or 9 if it does NOT look like the parent of a 13-17 year old.
Press the Continue button to begin.") / position = (50%, 50%) </text>
<trial instructions> / stimulusframes = [1=instructions, button.continue] / validresponse = (continue) / inputdevice = mouse </trial>
<button continue> /caption = "Continue" /size = (10%,5%) /position = (50%,75%) </button>
<text retrieval_instructions> /items = ("Now you will be shown a second series of pictures, although this time, your job is to figure out whether you saw the image in the last series or not.
You will have four response options: 'definitely old' means you are sure you saw the picture earlier,
'maybe old' means you think you saw the picture earlier,
'maybe new' means you don't think you saw the picture earlier,
and 'definitely new' means you are sure that you did not see the picture earlier.
Press Continue to begin.") / position = (50%, 50%) </text>
<trial retrieval_instructions> / stimulusframes = [1=retrieval_instructions; 2=button.continue] / inputdevice = mouse / validresponse = (continue) </trial> There are no duplicates in the <item> parts, nor the encoding trial, but when checking the output on excel, it finds over 100 duplicates. edited_SD_KD_08.jpg 5f180d451f67b000067bcdba.jpg 1-000003 - Copy_42.jpg number_121_1656366861496.jpg 002789.jpg 5e6887736d3b380006f1c83d.jpg 003281.jpg 000341.jpg 1-000003.jpg BD_160.jpg number_141_1656180980761.jpg 002765.jpg generated_photos_5e685d166d3b380006e82597.png.jpg image_7_2.jpg BD_219.jpg 000050.jpg edited_SD_IT_09.jpg AD_041_cropped.jpg 1-000003 - Copy_1.jpg generated_photos_5f182ef91f67b00006865ebe.png.jpg number_17_00001.jpg BD_223.jpg 003089.jpg number_15_00000 (3).jpg number_171_1656181377104.jpg BD_228.jpg 5e6876e96d3b380006edf98d.jpg BD_126.jpg AD_045.jpg 5f89723b5bec830008393b77.jpg BD_151.jpg AD_059.jpg AD_039.jpg 003959.jpg AD_073.jpg AD_054.jpg number_174_1656180550868.jpg 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BD_133.jpg 5e68799b6d3b380006ee993d.jpg BD_240.jpg 5e6888c76d3b380006f215a3.jpg BD_144.jpg number_31_generated_photos_5f1801e71f67b0000677f9a9.jpg edited_DD_EN_02.jpg AD_109_cropped.jpg 003779.jpg edited_SD_KD_09.jpg number_168_1656180079507.jpg AD_001.jpg 000791.jpg BD_175.jpg 5f181ca81f67b0000680ddc8.jpg BD_227.jpg edited_SD_IT_01.jpg AD_006.jpg BD_216.jpg edited_SD_AB_04.jpg BD_166.jpg AD_061.jpg image_18.jpg AD_092.jpg number_34_000006.jpg BD_238.jpg edited_DD_EN_03.jpg edited_SD_TA_10.jpg number_43_1656181412213.jpg edited_DD_TA_02.jpg 000077.jpg 5e68548f6d3b380006e638b3.jpg BD_162.jpg 5e6888f06d3b380006f21e9b.jpg AD_087.jpg AD_038.jpg number_22_generated_photos_5f181cb01f67b0000680e014.jpg BD_224.jpg AD_048.jpg AD_111_cropped.jpg AD_077_cropped.jpg edited_DD_AB_08.jpg BD_143.jpg 003995.jpg 5e687fc06d3b380006f00707.jpg edited_DD_AB_07.jpg 002117.jpg AD_065.jpg number_142_1657648464300.jpg AD_115.jpg AD_021.jpg AD_069.jpg 5e6873bc6d3b380006ed43b3.jpg 5e68885a6d3b380006f1fcc3.jpg BD_231.jpg number_145_1657648489907.jpg BD_220_cropped.jpg AD_071.jpg number_32_generated_photos_5f18134e1f67b000067ddd06.jpg BD_123.jpg edited_SD_EN_10.jpg 002765.jpg 5e6845936d3b380006e2d6e9.jpg AD_113.jpg AD_019.jpg AD_067_cropped.jpg 000120.jpg number_7_generated_photos_5f18064d1f67b00006797433.jpg number_14_download-109.jpg AD_050.jpg edited_SD_KD_01.jpg generated_photos_5f1829b61f67b0000684d380.png.jpg edited_DD_TA_11.jpg 000021.jpg 000367.jpg edited_DD_KD_02.jpg edited_DD_AB_06.jpg AD_079.jpg 5e6888ea6d3b380006f21d41.jpg 5e6888606d3b380006f1fe0b.jpg number_28_generated_photos_5f180ffa1f67b000067cba1b.jpg AD_045.jpg AD_091_cropped.jpg BD_179_cropped.jpg number_144_1656366815087.jpg generated_photos_5e6850986d3b380006e553e3.png.jpg 1-000003 - Copy_23.jpg 000806.jpg 5e6888796d3b380006f203eb.jpg number_9_5e6842b66d3b380006e230d7.jpg 5e6888666d3b380006f1ff85.jpg download-89.jpg download-68.jpg BD_232.jpg 002445.jpg edited_SD_IT_07.jpg number_141_1656180980761.jpg image_15.jpg edited_SD_TA_04.jpg number_154_1656179098793.jpg AD_096_cropped.jpg 000068.jpg number_5-download-16.jpg edited_DD_EN_09.jpg AD_032.jpg AD_018.jpg AD_120.jpg 000518.jpg BD_228.jpg number_46_1656424841327.jpg 002482.jpg generated_photos_5f1833b71f67b0000687b590.png.jpg generated_photos_5e686aa26d3b380006eb37df.png.jpg 5e687b166d3b380006eef149.jpg edited_DD_KD_03.jpg number_139_1656179691975.jpg BD_158.jpg AD_020.jpg AD_089_cropped.jpg 002759.jpg BD_229.jpg BD_130.jpg AD_015.jpg 000194.jpg AD_095_cropped.jpg BD_159.jpg number_6_generated_photos_5f18357a1f67b000068836ae.jpg AD_009.jpg AD_004.jpg 000929.jpg number_12_generated_photos_5f181de61f67b00006813bc1.jpg edited_SD_TA_03.jpg number_20_generated_photos_5f180af61f67b000067b0588.jpg 5e687f426d3b380006efea59.jpg 003785.jpg BD_171.jpg BD_145.jpg 001118.jpg image_12_2.jpg number_3_generated_photos_5e6859666d3b380006e751d5.jpg BD_135.jpg Here is an example of a full data file, we're looking at the stimulisitem1 column. No duplicates until row 239, after which there are many.
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sdnlabra2
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Group: Forum Members
Posts: 6,
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+x+x+x+x+x+x+x+xHi all, My colleagues and I are attempting to run a study on Inquisit that contains two trials. The participant is meant to never see the same image twice within the second trial, yet we keep seeing duplicates within this trial. There are enough images so that none need to be shown twice, and we do not have this issue within the first trial. Is there any code we can use in the script to ensure there are not any duplicates? You'll actually have to provide the relevant code, nobody can tell you what you need to do without it. Oh, that makes sense. Here is the relevant code: <trial encoding> / ontrialbegin = [ if (list.pics.nextvalue == picture.doors){ values.key_1 = "1"; values.key_2 = "2"; } else { values.key_1 = "8"; values.key_2 = "9"; } ] / stimulusframes = [1=list.pics; 2=scancode] / validresponse = (values.key_1, values.key_2) </trial> <surveypage recognition> / questions = [1=slider.rating] / showpagenumbers = false / showquestionnumbers = false / stimulusframes = [1=noreplace(picture.doors,picture.faces); 2=text.studied; 3=text.notstudied] </surveypage> <block full> / trials = [1=instructions; 2-237=noreplace(trial.encoding); 238=retrieval_instructions; 239-711=noreplace(recognition)] Sorry, those few snippets say absolutely nothing about how many pictures there are, whether there are enough items, etc. Nor does it make clear what you are actually referring to as "first" trial and what you are referring to as "second" trial in your original post. Provide something that can actually run please and is sufficiently complete to make sense of. Please also make clear what exactly you are referring to. For what it's worth, however, this here / stimulusframes = [ 1=noreplace(picture.doors,picture.faces); 2=text.studied; 3=text.notstudied] will not work; it does not, for example, guarantee that across however many instances of the surveypage you run, half of them will display the "doors" stimulus, and the other half the "faces" stimulus. Selection modes in /stimulustimes and -frames simply don't work that way, and should generally be avoided. Here is the full code excluding two item sections, <item faces> (247 images) and <item doors> (226 images): Thanks for your help. <text scancode> / items = ("for doors: press 1 (single) or 2 (double) for faces: press 8 (parent of a 13-17 year old) or 9 (NOT a parent of a 13-17 year old)") / position = (40%, 75%) </text> <picture faces> /items = item.faces /position = (50%,30%) /size = (50%,50%) /select = noreplace </picture> <picture doors> /items = item.doors /position = (50%,30%) /size = (50%,50%) /select = noreplace </picture> <list pics> /items = (picture.doors,picture.faces) / selectionmode = random / replace = false / poolsize = 236 / itemprobabilities = [ .5;.5 ] </list> <values> /key_1 = "" /key_2 = "" </values> <trial encoding> / ontrialbegin = [ if (list.pics.nextvalue == picture.doors){ values.key_1 = "1"; values.key_2 = "2"; } else { values.key_1 = "8"; values.key_2 = "9"; } ] / stimulusframes = [1=list.pics; 2=scancode] / validresponse = (values.key_1, values.key_2) </trial> <surveypage recognition> / questions = [1=slider.rating] / showpagenumbers = false / showquestionnumbers = false / stimulusframes = [1=noreplace(picture.doors,picture.faces); 2=text.studied; 3=text.notstudied] </surveypage> <block full> / trials = [1=instructions; 2-237=noreplace(trial.encoding); 238=retrieval_instructions; 239-711=noreplace(surveypage.recognition)] </block> <text studied> / items = ("STUDIED") / position = (30%,86%) / size = (10%, 10%) </text> <text notstudied> / items = ("DID NOT STUDY") / position = (74%,86%) / size = (10%, 10%) </text> <slider rating> /labels = ("definitely old", "maybe old", "maybe new", "definitely new") / subcaptionfontstyle = (2.5%) / range = (0,3) / slidersize = (50%,30%) / showticks = true / required = false / position = (25%, 75%) / defaultresponse = 0 </slider> <text instructions> /items = ("In this task, you will be shown a series of pictures. If you see a door, Press 1 if it is a single door or 2 if it is a double door. If you see a face, Press 8 if it DOES look like the parent of a 13-17 year old, or 9 if it does NOT look like the parent of a 13-17 year old. Press the Continue button to begin.") / position = (50%, 50%) </text> <trial instructions> / stimulusframes = [1=instructions, button.continue] / validresponse = (continue) / inputdevice = mouse </trial> <button continue> /caption = "Continue" /size = (10%,5%) /position = (50%,75%) </button> <text retrieval_instructions> /items = ("Now you will be shown a second series of pictures, although this time, your job is to figure out whether you saw the image in the last series or not. You will have four response options: 'definitely old' means you are sure you saw the picture earlier, 'maybe old' means you think you saw the picture earlier, 'maybe new' means you don't think you saw the picture earlier, and 'definitely new' means you are sure that you did not see the picture earlier. Press Continue to begin.") / position = (50%, 50%) </text> <trial retrieval_instructions> / stimulusframes = [1=retrieval_instructions; 2=button.continue] / inputdevice = mouse / validresponse = (continue) </trial> In short, what you'll want to do is have two recognition surveypages, one displaying only the "doors" stimulus, another one displaying only the "faces" stimulus. Then sample from these in the desired ratio (247:226); 247 and 226 have no common denominator greater than 1, so you'll have spell that noreplace() pool out in full. <block full> / trials = [1=instructions; 2-237=noreplace(trial.encoding); 238=retrieval_instructions; 239-711=noreplace(recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors)] </block> Hi Dave, sorry for the trouble. We tried this, but we are still getting some images twice and others zero times for the recognition part. We just want to show each of the 473 images once in a random order. This is what we have right now. Any suggestions? ... <surveypage recognition_faces> / questions = [1=slider.rating] / showpagenumbers = false / showquestionnumbers = false / stimulusframes=[1=picture.faces; 2=text.studied; 3=text.notstudied] </surveypage> <surveypage recognition_doors> / questions = [1=slider.rating] / showpagenumbers = false / showquestionnumbers = false / stimulusframes=[1=picture.doors; 2=text.studied; 3=text.notstudied] </surveypage> <block full> / trials = [1=instructions; 2-237=noreplace(trial.encoding); 238=retrieval_instructions; 239-711=noreplace(surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, 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surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, 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surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors)] </block> Show me the full code and a data file showing duplicates. Name the images that are supposedly repeated although they shouldn't be. <item faces> /1="_rf3.jpg" /2="number_2_001817.jpg" /3="number_3_generated_photos_5e6859666d3b380006e751d5.jpg" /4="number_4_generated_photos_5f1821ef1f67b000068273d3.jpg" /5="number_6_generated_photos_5f18357a1f67b000068836ae.jpg" /6="000929.jpg" /7="003281.jpg" /8="1-000003 - Copy_1.jpg" /9="1-000003 - Copy_gf.jpg" /10="1-000003 - Copy-0.jpg" /11="number_5-download-16.jpg" /12="1-000003 - Copy_copy.jpg" /13="1-000003.jpg" /14="002633.jpg" /15="1-000003 - Copy_42.jpg" /16="1-000003 - Copy_23.jpg" /17="002445.jpg" /18="download-68.jpg" /19="number_10_00000 (18).jpg" /20="number_7_generated_photos_5f18064d1f67b00006797433.jpg" /21="number_8_5e683d456d3b380006e0f60f.jpg" /22="number_9_5e6842b66d3b380006e230d7.jpg" /23="5e683d196d3b380006e0ec23.jpg" /24="5e685f8f6d3b380006e8b603.jpg" /25="5e687fc06d3b380006f00707.jpg" /26="5e6888326d3b380006f1f3b1.jpg" /27="000021.jpg" /28="5e6843186d3b380006e246cd.jpg" 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/62="5e6807fe6d3b380006d533d5.jpg" /63="5f1806d31f67b00006799fbc.jpg" /64="number_19_00000 (6).jpg" /65="number_24_generated_photos_5e685f786d3b380006e8b0f7.jpg" /66="number_23_generated_photos_5e68798a6d3b380006ee9541.jpg" /67="number_25_generated_photos_5e687bac6d3b380006ef140f.jpg" /68="000518.jpg" /69="000397.jpg" /70="5e68548d6d3b380006e63841.jpg" /71="5e687f626d3b380006eff1af.jpg" /72="5e682c546d3b380006dd4381.jpg" /73="5f180d451f67b000067bcdba.jpg" /74="5f181ca81f67b0000680ddc8.jpg" /75="number_28_generated_photos_5f180ffa1f67b000067cba1b.jpg" /76="number_29_generated_photos_5f8979845bec8300083bea44.jpg" /77="number_30_generated_photos_5e6869326d3b380006eae4e5.jpg" /78="number_31_generated_photos_5f1801e71f67b0000677f9a9.jpg" /79="number_32_generated_photos_5f18134e1f67b000067ddd06.jpg" /80="5e6859fc6d3b380006e77365.jpg" /81="5f89723b5bec830008393b77.jpg" /82="5f8981765bec8300083ebd6e.jpg" /83="5f1805461f67b00006791a9c.jpg" /84="5e685aab6d3b380006e79a29.jpg" 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/230="image_24.jpg" /231="image_25.jpg" /232="image_26.jpg" /233="image_27.jpg" /234="image_29.jpg" /235="image_3.jpg" /236="image_9.jpg" /237="image_1_2.jpg" /238="image_12_2.jpg" /239="image_14_2.jpg" /240="image_16_2.jpg" /241="image_21_2.jpg" /242="image_22_2.jpg" /243="image_30_2.jpg" /244="image_4_2.jpg" /245="image_5_2.jpg" /246="image_6_2.jpg" /247="image_7_2.jpg" </item>
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<text scancode> / items = ("for doors: press 1 (single) or 2 (double) for faces: press 8 (parent of a 13-17 year old) or 9 (NOT a parent of a 13-17 year old)") / position = (40%, 75%) </text>
<picture faces> /items = item.faces /position = (50%,30%) /size = (50%,50%) /select = noreplace / selectionrate = always </picture>
<picture doors> /items = item.doors /position = (50%,30%) /size = (50%,50%) /select = noreplace / selectionrate = always </picture>
<list pics> /items = (picture.doors,picture.faces) / selectionmode = random /replace=false / poolsize = 236 / itemprobabilities = [ .5;.5 ] </list>
<values> /key_1 = "" /key_2 = "" </values>
<trial encoding> / ontrialbegin = [ if (list.pics.nextvalue == picture.doors){ values.key_1 = "1"; values.key_2 = "2"; } else { values.key_1 = "8"; values.key_2 = "9"; } ]
/ stimulusframes = [1=list.pics; 2=scancode] / validresponse = (values.key_1, values.key_2) </trial>
<surveypage recognition_faces> / questions = [1=slider.rating] / showpagenumbers = false / showquestionnumbers = false / stimulusframes=[1=picture.faces; 2=text.studied; 3=text.notstudied] </surveypage>
<surveypage recognition_doors> / questions = [1=slider.rating] / showpagenumbers = false / showquestionnumbers = false / stimulusframes=[1=picture.doors; 2=text.studied; 3=text.notstudied] </surveypage>
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</block>
<text studied> / items = ("STUDIED") / position = (30%,86%) / size = (10%, 10%) </text>
<text notstudied> / items = ("DID NOT STUDY") / position = (74%,86%) / size = (10%, 10%) </text>
<slider rating> /labels = ("definitely old", "maybe old", "maybe new", "definitely new") / subcaptionfontstyle = (2.5%) / range = (0,3) / slidersize = (50%,30%) / showticks = true / required = false / position = (25%, 75%) / defaultresponse = 0 </slider>
<text instructions> /items = ("In this task, you will be shown a series of pictures.
If you see a door, Press 1 if it is a single door or 2 if it is a double door.
If you see a face, Press 8 if it DOES look like the parent of a 13-17 year old, or 9 if it does NOT look like the parent of a 13-17 year old.
Press the Continue button to begin.") / position = (50%, 50%) </text>
<trial instructions> / stimulusframes = [1=instructions, button.continue] / validresponse = (continue) / inputdevice = mouse </trial>
<button continue> /caption = "Continue" /size = (10%,5%) /position = (50%,75%) </button>
<text retrieval_instructions> /items = ("Now you will be shown a second series of pictures, although this time, your job is to figure out whether you saw the image in the last series or not.
You will have four response options: 'definitely old' means you are sure you saw the picture earlier,
'maybe old' means you think you saw the picture earlier,
'maybe new' means you don't think you saw the picture earlier,
and 'definitely new' means you are sure that you did not see the picture earlier.
Press Continue to begin.") / position = (50%, 50%) </text>
<trial retrieval_instructions> / stimulusframes = [1=retrieval_instructions; 2=button.continue] / inputdevice = mouse / validresponse = (continue) </trial> There are no duplicates in the <item> parts, nor the encoding trial, but when checking the output on excel, it finds over 100 duplicates. edited_SD_KD_08.jpg 5f180d451f67b000067bcdba.jpg 1-000003 - Copy_42.jpg number_121_1656366861496.jpg 002789.jpg 5e6887736d3b380006f1c83d.jpg 003281.jpg 000341.jpg 1-000003.jpg BD_160.jpg number_141_1656180980761.jpg 002765.jpg generated_photos_5e685d166d3b380006e82597.png.jpg image_7_2.jpg BD_219.jpg 000050.jpg edited_SD_IT_09.jpg AD_041_cropped.jpg 1-000003 - Copy_1.jpg generated_photos_5f182ef91f67b00006865ebe.png.jpg number_17_00001.jpg BD_223.jpg 003089.jpg number_15_00000 (3).jpg number_171_1656181377104.jpg BD_228.jpg 5e6876e96d3b380006edf98d.jpg BD_126.jpg AD_045.jpg 5f89723b5bec830008393b77.jpg BD_151.jpg AD_059.jpg AD_039.jpg 003959.jpg AD_073.jpg AD_054.jpg number_174_1656180550868.jpg 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Dave
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Group: Administrators
Posts: 13K,
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+x+x+x+x+x+x+xHi all, My colleagues and I are attempting to run a study on Inquisit that contains two trials. The participant is meant to never see the same image twice within the second trial, yet we keep seeing duplicates within this trial. There are enough images so that none need to be shown twice, and we do not have this issue within the first trial. Is there any code we can use in the script to ensure there are not any duplicates? You'll actually have to provide the relevant code, nobody can tell you what you need to do without it. Oh, that makes sense. Here is the relevant code: <trial encoding> / ontrialbegin = [ if (list.pics.nextvalue == picture.doors){ values.key_1 = "1"; values.key_2 = "2"; } else { values.key_1 = "8"; values.key_2 = "9"; } ] / stimulusframes = [1=list.pics; 2=scancode] / validresponse = (values.key_1, values.key_2) </trial> <surveypage recognition> / questions = [1=slider.rating] / showpagenumbers = false / showquestionnumbers = false / stimulusframes = [1=noreplace(picture.doors,picture.faces); 2=text.studied; 3=text.notstudied] </surveypage> <block full> / trials = [1=instructions; 2-237=noreplace(trial.encoding); 238=retrieval_instructions; 239-711=noreplace(recognition)] Sorry, those few snippets say absolutely nothing about how many pictures there are, whether there are enough items, etc. Nor does it make clear what you are actually referring to as "first" trial and what you are referring to as "second" trial in your original post. Provide something that can actually run please and is sufficiently complete to make sense of. Please also make clear what exactly you are referring to. For what it's worth, however, this here / stimulusframes = [ 1=noreplace(picture.doors,picture.faces); 2=text.studied; 3=text.notstudied] will not work; it does not, for example, guarantee that across however many instances of the surveypage you run, half of them will display the "doors" stimulus, and the other half the "faces" stimulus. Selection modes in /stimulustimes and -frames simply don't work that way, and should generally be avoided. Here is the full code excluding two item sections, <item faces> (247 images) and <item doors> (226 images): Thanks for your help. <text scancode> / items = ("for doors: press 1 (single) or 2 (double) for faces: press 8 (parent of a 13-17 year old) or 9 (NOT a parent of a 13-17 year old)") / position = (40%, 75%) </text> <picture faces> /items = item.faces /position = (50%,30%) /size = (50%,50%) /select = noreplace </picture> <picture doors> /items = item.doors /position = (50%,30%) /size = (50%,50%) /select = noreplace </picture> <list pics> /items = (picture.doors,picture.faces) / selectionmode = random / replace = false / poolsize = 236 / itemprobabilities = [ .5;.5 ] </list> <values> /key_1 = "" /key_2 = "" </values> <trial encoding> / ontrialbegin = [ if (list.pics.nextvalue == picture.doors){ values.key_1 = "1"; values.key_2 = "2"; } else { values.key_1 = "8"; values.key_2 = "9"; } ] / stimulusframes = [1=list.pics; 2=scancode] / validresponse = (values.key_1, values.key_2) </trial> <surveypage recognition> / questions = [1=slider.rating] / showpagenumbers = false / showquestionnumbers = false / stimulusframes = [1=noreplace(picture.doors,picture.faces); 2=text.studied; 3=text.notstudied] </surveypage> <block full> / trials = [1=instructions; 2-237=noreplace(trial.encoding); 238=retrieval_instructions; 239-711=noreplace(surveypage.recognition)] </block> <text studied> / items = ("STUDIED") / position = (30%,86%) / size = (10%, 10%) </text> <text notstudied> / items = ("DID NOT STUDY") / position = (74%,86%) / size = (10%, 10%) </text> <slider rating> /labels = ("definitely old", "maybe old", "maybe new", "definitely new") / subcaptionfontstyle = (2.5%) / range = (0,3) / slidersize = (50%,30%) / showticks = true / required = false / position = (25%, 75%) / defaultresponse = 0 </slider> <text instructions> /items = ("In this task, you will be shown a series of pictures. If you see a door, Press 1 if it is a single door or 2 if it is a double door. If you see a face, Press 8 if it DOES look like the parent of a 13-17 year old, or 9 if it does NOT look like the parent of a 13-17 year old. Press the Continue button to begin.") / position = (50%, 50%) </text> <trial instructions> / stimulusframes = [1=instructions, button.continue] / validresponse = (continue) / inputdevice = mouse </trial> <button continue> /caption = "Continue" /size = (10%,5%) /position = (50%,75%) </button> <text retrieval_instructions> /items = ("Now you will be shown a second series of pictures, although this time, your job is to figure out whether you saw the image in the last series or not. You will have four response options: 'definitely old' means you are sure you saw the picture earlier, 'maybe old' means you think you saw the picture earlier, 'maybe new' means you don't think you saw the picture earlier, and 'definitely new' means you are sure that you did not see the picture earlier. Press Continue to begin.") / position = (50%, 50%) </text> <trial retrieval_instructions> / stimulusframes = [1=retrieval_instructions; 2=button.continue] / inputdevice = mouse / validresponse = (continue) </trial> In short, what you'll want to do is have two recognition surveypages, one displaying only the "doors" stimulus, another one displaying only the "faces" stimulus. Then sample from these in the desired ratio (247:226); 247 and 226 have no common denominator greater than 1, so you'll have spell that noreplace() pool out in full. <block full> / trials = [1=instructions; 2-237=noreplace(trial.encoding); 238=retrieval_instructions; 239-711=noreplace(recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors)] </block> Hi Dave, sorry for the trouble. We tried this, but we are still getting some images twice and others zero times for the recognition part. We just want to show each of the 473 images once in a random order. This is what we have right now. Any suggestions? ... <surveypage recognition_faces> / questions = [1=slider.rating] / showpagenumbers = false / showquestionnumbers = false / stimulusframes=[1=picture.faces; 2=text.studied; 3=text.notstudied] </surveypage> <surveypage recognition_doors> / questions = [1=slider.rating] / showpagenumbers = false / showquestionnumbers = false / stimulusframes=[1=picture.doors; 2=text.studied; 3=text.notstudied] </surveypage> <block full> / trials = [1=instructions; 2-237=noreplace(trial.encoding); 238=retrieval_instructions; 239-711=noreplace(surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, 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surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors, surveypage.recognition_doors)] </block> Show me the full code and a data file showing duplicates. Name the images that are supposedly repeated although they shouldn't be.
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sdnlabra2
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Group: Forum Members
Posts: 6,
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+x+x+x+x+x+xHi all, My colleagues and I are attempting to run a study on Inquisit that contains two trials. The participant is meant to never see the same image twice within the second trial, yet we keep seeing duplicates within this trial. There are enough images so that none need to be shown twice, and we do not have this issue within the first trial. Is there any code we can use in the script to ensure there are not any duplicates? You'll actually have to provide the relevant code, nobody can tell you what you need to do without it. Oh, that makes sense. Here is the relevant code: <trial encoding> / ontrialbegin = [ if (list.pics.nextvalue == picture.doors){ values.key_1 = "1"; values.key_2 = "2"; } else { values.key_1 = "8"; values.key_2 = "9"; } ] / stimulusframes = [1=list.pics; 2=scancode] / validresponse = (values.key_1, values.key_2) </trial> <surveypage recognition> / questions = [1=slider.rating] / showpagenumbers = false / showquestionnumbers = false / stimulusframes = [1=noreplace(picture.doors,picture.faces); 2=text.studied; 3=text.notstudied] </surveypage> <block full> / trials = [1=instructions; 2-237=noreplace(trial.encoding); 238=retrieval_instructions; 239-711=noreplace(recognition)] Sorry, those few snippets say absolutely nothing about how many pictures there are, whether there are enough items, etc. Nor does it make clear what you are actually referring to as "first" trial and what you are referring to as "second" trial in your original post. Provide something that can actually run please and is sufficiently complete to make sense of. Please also make clear what exactly you are referring to. For what it's worth, however, this here / stimulusframes = [ 1=noreplace(picture.doors,picture.faces); 2=text.studied; 3=text.notstudied] will not work; it does not, for example, guarantee that across however many instances of the surveypage you run, half of them will display the "doors" stimulus, and the other half the "faces" stimulus. Selection modes in /stimulustimes and -frames simply don't work that way, and should generally be avoided. Here is the full code excluding two item sections, <item faces> (247 images) and <item doors> (226 images): Thanks for your help. <text scancode> / items = ("for doors: press 1 (single) or 2 (double) for faces: press 8 (parent of a 13-17 year old) or 9 (NOT a parent of a 13-17 year old)") / position = (40%, 75%) </text> <picture faces> /items = item.faces /position = (50%,30%) /size = (50%,50%) /select = noreplace </picture> <picture doors> /items = item.doors /position = (50%,30%) /size = (50%,50%) /select = noreplace </picture> <list pics> /items = (picture.doors,picture.faces) / selectionmode = random / replace = false / poolsize = 236 / itemprobabilities = [ .5;.5 ] </list> <values> /key_1 = "" /key_2 = "" </values> <trial encoding> / ontrialbegin = [ if (list.pics.nextvalue == picture.doors){ values.key_1 = "1"; values.key_2 = "2"; } else { values.key_1 = "8"; values.key_2 = "9"; } ] / stimulusframes = [1=list.pics; 2=scancode] / validresponse = (values.key_1, values.key_2) </trial> <surveypage recognition> / questions = [1=slider.rating] / showpagenumbers = false / showquestionnumbers = false / stimulusframes = [1=noreplace(picture.doors,picture.faces); 2=text.studied; 3=text.notstudied] </surveypage> <block full> / trials = [1=instructions; 2-237=noreplace(trial.encoding); 238=retrieval_instructions; 239-711=noreplace(surveypage.recognition)] </block> <text studied> / items = ("STUDIED") / position = (30%,86%) / size = (10%, 10%) </text> <text notstudied> / items = ("DID NOT STUDY") / position = (74%,86%) / size = (10%, 10%) </text> <slider rating> /labels = ("definitely old", "maybe old", "maybe new", "definitely new") / subcaptionfontstyle = (2.5%) / range = (0,3) / slidersize = (50%,30%) / showticks = true / required = false / position = (25%, 75%) / defaultresponse = 0 </slider> <text instructions> /items = ("In this task, you will be shown a series of pictures. If you see a door, Press 1 if it is a single door or 2 if it is a double door. If you see a face, Press 8 if it DOES look like the parent of a 13-17 year old, or 9 if it does NOT look like the parent of a 13-17 year old. Press the Continue button to begin.") / position = (50%, 50%) </text> <trial instructions> / stimulusframes = [1=instructions, button.continue] / validresponse = (continue) / inputdevice = mouse </trial> <button continue> /caption = "Continue" /size = (10%,5%) /position = (50%,75%) </button> <text retrieval_instructions> /items = ("Now you will be shown a second series of pictures, although this time, your job is to figure out whether you saw the image in the last series or not. You will have four response options: 'definitely old' means you are sure you saw the picture earlier, 'maybe old' means you think you saw the picture earlier, 'maybe new' means you don't think you saw the picture earlier, and 'definitely new' means you are sure that you did not see the picture earlier. Press Continue to begin.") / position = (50%, 50%) </text> <trial retrieval_instructions> / stimulusframes = [1=retrieval_instructions; 2=button.continue] / inputdevice = mouse / validresponse = (continue) </trial> In short, what you'll want to do is have two recognition surveypages, one displaying only the "doors" stimulus, another one displaying only the "faces" stimulus. Then sample from these in the desired ratio (247:226); 247 and 226 have no common denominator greater than 1, so you'll have spell that noreplace() pool out in full. <block full> / trials = [1=instructions; 2-237=noreplace(trial.encoding); 238=retrieval_instructions; 239-711=noreplace(recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, 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recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors)] </block> Hi Dave, sorry for the trouble. We tried this, but we are still getting some images twice and others zero times for the recognition part. We just want to show each of the 473 images once in a random order. This is what we have right now. Any suggestions? ... <surveypage recognition_faces> / questions = [1=slider.rating] / showpagenumbers = false / showquestionnumbers = false / stimulusframes=[1=picture.faces; 2=text.studied; 3=text.notstudied] </surveypage> <surveypage recognition_doors> / questions = [1=slider.rating] / showpagenumbers = false / showquestionnumbers = false / stimulusframes=[1=picture.doors; 2=text.studied; 3=text.notstudied] </surveypage> <block full> / trials = [1=instructions; 2-237=noreplace(trial.encoding); 238=retrieval_instructions; 239-711=noreplace(surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, 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sdnlabra2
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Group: Forum Members
Posts: 6,
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+x+x+x+x+x+xHi all, My colleagues and I are attempting to run a study on Inquisit that contains two trials. The participant is meant to never see the same image twice within the second trial, yet we keep seeing duplicates within this trial. There are enough images so that none need to be shown twice, and we do not have this issue within the first trial. Is there any code we can use in the script to ensure there are not any duplicates? You'll actually have to provide the relevant code, nobody can tell you what you need to do without it. Oh, that makes sense. Here is the relevant code: <trial encoding> / ontrialbegin = [ if (list.pics.nextvalue == picture.doors){ values.key_1 = "1"; values.key_2 = "2"; } else { values.key_1 = "8"; values.key_2 = "9"; } ] / stimulusframes = [1=list.pics; 2=scancode] / validresponse = (values.key_1, values.key_2) </trial> <surveypage recognition> / questions = [1=slider.rating] / showpagenumbers = false / showquestionnumbers = false / stimulusframes = [1=noreplace(picture.doors,picture.faces); 2=text.studied; 3=text.notstudied] </surveypage> <block full> / trials = [1=instructions; 2-237=noreplace(trial.encoding); 238=retrieval_instructions; 239-711=noreplace(recognition)] Sorry, those few snippets say absolutely nothing about how many pictures there are, whether there are enough items, etc. Nor does it make clear what you are actually referring to as "first" trial and what you are referring to as "second" trial in your original post. Provide something that can actually run please and is sufficiently complete to make sense of. Please also make clear what exactly you are referring to. For what it's worth, however, this here / stimulusframes = [ 1=noreplace(picture.doors,picture.faces); 2=text.studied; 3=text.notstudied] will not work; it does not, for example, guarantee that across however many instances of the surveypage you run, half of them will display the "doors" stimulus, and the other half the "faces" stimulus. Selection modes in /stimulustimes and -frames simply don't work that way, and should generally be avoided. Here is the full code excluding two item sections, <item faces> (247 images) and <item doors> (226 images): Thanks for your help. <text scancode> / items = ("for doors: press 1 (single) or 2 (double) for faces: press 8 (parent of a 13-17 year old) or 9 (NOT a parent of a 13-17 year old)") / position = (40%, 75%) </text> <picture faces> /items = item.faces /position = (50%,30%) /size = (50%,50%) /select = noreplace </picture> <picture doors> /items = item.doors /position = (50%,30%) /size = (50%,50%) /select = noreplace </picture> <list pics> /items = (picture.doors,picture.faces) / selectionmode = random / replace = false / poolsize = 236 / itemprobabilities = [ .5;.5 ] </list> <values> /key_1 = "" /key_2 = "" </values> <trial encoding> / ontrialbegin = [ if (list.pics.nextvalue == picture.doors){ values.key_1 = "1"; values.key_2 = "2"; } else { values.key_1 = "8"; values.key_2 = "9"; } ] / stimulusframes = [1=list.pics; 2=scancode] / validresponse = (values.key_1, values.key_2) </trial> <surveypage recognition> / questions = [1=slider.rating] / showpagenumbers = false / showquestionnumbers = false / stimulusframes = [1=noreplace(picture.doors,picture.faces); 2=text.studied; 3=text.notstudied] </surveypage> <block full> / trials = [1=instructions; 2-237=noreplace(trial.encoding); 238=retrieval_instructions; 239-711=noreplace(surveypage.recognition)] </block> <text studied> / items = ("STUDIED") / position = (30%,86%) / size = (10%, 10%) </text> <text notstudied> / items = ("DID NOT STUDY") / position = (74%,86%) / size = (10%, 10%) </text> <slider rating> /labels = ("definitely old", "maybe old", "maybe new", "definitely new") / subcaptionfontstyle = (2.5%) / range = (0,3) / slidersize = (50%,30%) / showticks = true / required = false / position = (25%, 75%) / defaultresponse = 0 </slider> <text instructions> /items = ("In this task, you will be shown a series of pictures. If you see a door, Press 1 if it is a single door or 2 if it is a double door. If you see a face, Press 8 if it DOES look like the parent of a 13-17 year old, or 9 if it does NOT look like the parent of a 13-17 year old. Press the Continue button to begin.") / position = (50%, 50%) </text> <trial instructions> / stimulusframes = [1=instructions, button.continue] / validresponse = (continue) / inputdevice = mouse </trial> <button continue> /caption = "Continue" /size = (10%,5%) /position = (50%,75%) </button> <text retrieval_instructions> /items = ("Now you will be shown a second series of pictures, although this time, your job is to figure out whether you saw the image in the last series or not. You will have four response options: 'definitely old' means you are sure you saw the picture earlier, 'maybe old' means you think you saw the picture earlier, 'maybe new' means you don't think you saw the picture earlier, and 'definitely new' means you are sure that you did not see the picture earlier. Press Continue to begin.") / position = (50%, 50%) </text> <trial retrieval_instructions> / stimulusframes = [1=retrieval_instructions; 2=button.continue] / inputdevice = mouse / validresponse = (continue) </trial> In short, what you'll want to do is have two recognition surveypage, one displaying only the "doors" stimulus, another one displaying only the "faces" stimulus. Then sample from these in the desired ratio (247:226); 247 and 226 have no common denominator greater than 1, so you'll have spell that noreplace() pool out in full. <block full> / trials = [1=instructions; 2-237=noreplace(trial.encoding); 238=retrieval_instructions; 239-711=noreplace(recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, 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recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors)] </block> thanks dav
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Dave
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Group: Administrators
Posts: 13K,
Visits: 101K
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+x+x+x+x+xHi all, My colleagues and I are attempting to run a study on Inquisit that contains two trials. The participant is meant to never see the same image twice within the second trial, yet we keep seeing duplicates within this trial. There are enough images so that none need to be shown twice, and we do not have this issue within the first trial. Is there any code we can use in the script to ensure there are not any duplicates? You'll actually have to provide the relevant code, nobody can tell you what you need to do without it. Oh, that makes sense. Here is the relevant code: <trial encoding> / ontrialbegin = [ if (list.pics.nextvalue == picture.doors){ values.key_1 = "1"; values.key_2 = "2"; } else { values.key_1 = "8"; values.key_2 = "9"; } ] / stimulusframes = [1=list.pics; 2=scancode] / validresponse = (values.key_1, values.key_2) </trial> <surveypage recognition> / questions = [1=slider.rating] / showpagenumbers = false / showquestionnumbers = false / stimulusframes = [1=noreplace(picture.doors,picture.faces); 2=text.studied; 3=text.notstudied] </surveypage> <block full> / trials = [1=instructions; 2-237=noreplace(trial.encoding); 238=retrieval_instructions; 239-711=noreplace(recognition)] Sorry, those few snippets say absolutely nothing about how many pictures there are, whether there are enough items, etc. Nor does it make clear what you are actually referring to as "first" trial and what you are referring to as "second" trial in your original post. Provide something that can actually run please and is sufficiently complete to make sense of. Please also make clear what exactly you are referring to. For what it's worth, however, this here / stimulusframes = [ 1=noreplace(picture.doors,picture.faces); 2=text.studied; 3=text.notstudied] will not work; it does not, for example, guarantee that across however many instances of the surveypage you run, half of them will display the "doors" stimulus, and the other half the "faces" stimulus. Selection modes in /stimulustimes and -frames simply don't work that way, and should generally be avoided. Here is the full code excluding two item sections, <item faces> (247 images) and <item doors> (226 images): Thanks for your help. <text scancode> / items = ("for doors: press 1 (single) or 2 (double) for faces: press 8 (parent of a 13-17 year old) or 9 (NOT a parent of a 13-17 year old)") / position = (40%, 75%) </text> <picture faces> /items = item.faces /position = (50%,30%) /size = (50%,50%) /select = noreplace </picture> <picture doors> /items = item.doors /position = (50%,30%) /size = (50%,50%) /select = noreplace </picture> <list pics> /items = (picture.doors,picture.faces) / selectionmode = random / replace = false / poolsize = 236 / itemprobabilities = [ .5;.5 ] </list> <values> /key_1 = "" /key_2 = "" </values> <trial encoding> / ontrialbegin = [ if (list.pics.nextvalue == picture.doors){ values.key_1 = "1"; values.key_2 = "2"; } else { values.key_1 = "8"; values.key_2 = "9"; } ] / stimulusframes = [1=list.pics; 2=scancode] / validresponse = (values.key_1, values.key_2) </trial> <surveypage recognition> / questions = [1=slider.rating] / showpagenumbers = false / showquestionnumbers = false / stimulusframes = [1=noreplace(picture.doors,picture.faces); 2=text.studied; 3=text.notstudied] </surveypage> <block full> / trials = [1=instructions; 2-237=noreplace(trial.encoding); 238=retrieval_instructions; 239-711=noreplace(surveypage.recognition)] </block> <text studied> / items = ("STUDIED") / position = (30%,86%) / size = (10%, 10%) </text> <text notstudied> / items = ("DID NOT STUDY") / position = (74%,86%) / size = (10%, 10%) </text> <slider rating> /labels = ("definitely old", "maybe old", "maybe new", "definitely new") / subcaptionfontstyle = (2.5%) / range = (0,3) / slidersize = (50%,30%) / showticks = true / required = false / position = (25%, 75%) / defaultresponse = 0 </slider> <text instructions> /items = ("In this task, you will be shown a series of pictures. If you see a door, Press 1 if it is a single door or 2 if it is a double door. If you see a face, Press 8 if it DOES look like the parent of a 13-17 year old, or 9 if it does NOT look like the parent of a 13-17 year old. Press the Continue button to begin.") / position = (50%, 50%) </text> <trial instructions> / stimulusframes = [1=instructions, button.continue] / validresponse = (continue) / inputdevice = mouse </trial> <button continue> /caption = "Continue" /size = (10%,5%) /position = (50%,75%) </button> <text retrieval_instructions> /items = ("Now you will be shown a second series of pictures, although this time, your job is to figure out whether you saw the image in the last series or not. You will have four response options: 'definitely old' means you are sure you saw the picture earlier, 'maybe old' means you think you saw the picture earlier, 'maybe new' means you don't think you saw the picture earlier, and 'definitely new' means you are sure that you did not see the picture earlier. Press Continue to begin.") / position = (50%, 50%) </text> <trial retrieval_instructions> / stimulusframes = [1=retrieval_instructions; 2=button.continue] / inputdevice = mouse / validresponse = (continue) </trial> In short, what you'll want to do is have two recognition surveypages, one displaying only the "doors" stimulus, another one displaying only the "faces" stimulus. Then sample from these in the desired ratio (247:226); 247 and 226 have no common denominator greater than 1, so you'll have spell that noreplace() pool out in full. <block full> / trials = [1=instructions; 2-237=noreplace(trial.encoding); 238=retrieval_instructions; 239-711=noreplace(recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors)] </block>
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sdnlabra2
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Group: Forum Members
Posts: 6,
Visits: 6
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+x+x+x+xHi all, My colleagues and I are attempting to run a study on Inquisit that contains two trials. The participant is meant to never see the same image twice within the second trial, yet we keep seeing duplicates within this trial. There are enough images so that none need to be shown twice, and we do not have this issue within the first trial. Is there any code we can use in the script to ensure there are not any duplicates? You'll actually have to provide the relevant code, nobody can tell you what you need to do without it. Oh, that makes sense. Here is the relevant code: <trial encoding> / ontrialbegin = [ if (list.pics.nextvalue == picture.doors){ values.key_1 = "1"; values.key_2 = "2"; } else { values.key_1 = "8"; values.key_2 = "9"; } ] / stimulusframes = [1=list.pics; 2=scancode] / validresponse = (values.key_1, values.key_2) </trial> <surveypage recognition> / questions = [1=slider.rating] / showpagenumbers = false / showquestionnumbers = false / stimulusframes = [1=noreplace(picture.doors,picture.faces); 2=text.studied; 3=text.notstudied] </surveypage> <block full> / trials = [1=instructions; 2-237=noreplace(trial.encoding); 238=retrieval_instructions; 239-711=noreplace(recognition)] Sorry, those few snippets say absolutely nothing about how many pictures there are, whether there are enough items, etc. Nor does it make clear what you are actually referring to as "first" trial and what you are referring to as "second" trial in your original post. Provide something that can actually run please and is sufficiently complete to make sense of. Please also make clear what exactly you are referring to. For what it's worth, however, this here / stimulusframes = [ 1=noreplace(picture.doors,picture.faces); 2=text.studied; 3=text.notstudied] will not work; it does not, for example, guarantee that across however many instances of the surveypage you run, half of them will display the "doors" stimulus, and the other half the "faces" stimulus. Selection modes in /stimulustimes and -frames simply don't work that way, and should generally be avoided. Here is the full code excluding two item sections, <item faces> (247 images) and <item doors> (226 images): Thanks for your help. <text scancode> / items = ("for doors: press 1 (single) or 2 (double) for faces: press 8 (parent of a 13-17 year old) or 9 (NOT a parent of a 13-17 year old)") / position = (40%, 75%) </text> <picture faces> /items = item.faces /position = (50%,30%) /size = (50%,50%) /select = noreplace </picture> <picture doors> /items = item.doors /position = (50%,30%) /size = (50%,50%) /select = noreplace </picture> <list pics> /items = (picture.doors,picture.faces) / selectionmode = random / replace = false / poolsize = 236 / itemprobabilities = [ .5;.5 ] </list> <values> /key_1 = "" /key_2 = "" </values> <trial encoding> / ontrialbegin = [ if (list.pics.nextvalue == picture.doors){ values.key_1 = "1"; values.key_2 = "2"; } else { values.key_1 = "8"; values.key_2 = "9"; } ] / stimulusframes = [1=list.pics; 2=scancode] / validresponse = (values.key_1, values.key_2) </trial> <surveypage recognition> / questions = [1=slider.rating] / showpagenumbers = false / showquestionnumbers = false / stimulusframes = [1=noreplace(picture.doors,picture.faces); 2=text.studied; 3=text.notstudied] </surveypage> <block full> / trials = [1=instructions; 2-237=noreplace(trial.encoding); 238=retrieval_instructions; 239-711=noreplace(surveypage.recognition)] </block> <text studied> / items = ("STUDIED") / position = (30%,86%) / size = (10%, 10%) </text> <text notstudied> / items = ("DID NOT STUDY") / position = (74%,86%) / size = (10%, 10%) </text> <slider rating> /labels = ("definitely old", "maybe old", "maybe new", "definitely new") / subcaptionfontstyle = (2.5%) / range = (0,3) / slidersize = (50%,30%) / showticks = true / required = false / position = (25%, 75%) / defaultresponse = 0 </slider> <text instructions> /items = ("In this task, you will be shown a series of pictures. If you see a door, Press 1 if it is a single door or 2 if it is a double door. If you see a face, Press 8 if it DOES look like the parent of a 13-17 year old, or 9 if it does NOT look like the parent of a 13-17 year old. Press the Continue button to begin.") / position = (50%, 50%) </text> <trial instructions> / stimulusframes = [1=instructions, button.continue] / validresponse = (continue) / inputdevice = mouse </trial> <button continue> /caption = "Continue" /size = (10%,5%) /position = (50%,75%) </button> <text retrieval_instructions> /items = ("Now you will be shown a second series of pictures, although this time, your job is to figure out whether you saw the image in the last series or not. You will have four response options: 'definitely old' means you are sure you saw the picture earlier, 'maybe old' means you think you saw the picture earlier, 'maybe new' means you don't think you saw the picture earlier, and 'definitely new' means you are sure that you did not see the picture earlier. Press Continue to begin.") / position = (50%, 50%) </text> <trial retrieval_instructions> / stimulusframes = [1=retrieval_instructions; 2=button.continue] / inputdevice = mouse / validresponse = (continue) </trial>
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Dave
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Group: Administrators
Posts: 13K,
Visits: 101K
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+x+x+xHi all, My colleagues and I are attempting to run a study on Inquisit that contains two trials. The participant is meant to never see the same image twice within the second trial, yet we keep seeing duplicates within this trial. There are enough images so that none need to be shown twice, and we do not have this issue within the first trial. Is there any code we can use in the script to ensure there are not any duplicates? You'll actually have to provide the relevant code, nobody can tell you what you need to do without it. Oh, that makes sense. Here is the relevant code: <trial encoding> / ontrialbegin = [ if (list.pics.nextvalue == picture.doors){ values.key_1 = "1"; values.key_2 = "2"; } else { values.key_1 = "8"; values.key_2 = "9"; } ] / stimulusframes = [1=list.pics; 2=scancode] / validresponse = (values.key_1, values.key_2) </trial> <surveypage recognition> / questions = [1=slider.rating] / showpagenumbers = false / showquestionnumbers = false / stimulusframes = [1=noreplace(picture.doors,picture.faces); 2=text.studied; 3=text.notstudied] </surveypage> <block full> / trials = [1=instructions; 2-237=noreplace(trial.encoding); 238=retrieval_instructions; 239-711=noreplace(recognition)] Sorry, those few snippets say absolutely nothing about how many pictures there are, whether there are enough items, etc. Nor does it make clear what you are actually referring to as "first" trial and what you are referring to as "second" trial in your original post. Provide something that can actually run please and is sufficiently complete to make sense of. Please also make clear what exactly you are referring to. For what it's worth, however, this here / stimulusframes = [ 1=noreplace(picture.doors,picture.faces); 2=text.studied; 3=text.notstudied] will not work; it does not, for example, guarantee that across however many instances of the surveypage you run (it's 473 instances in the code you posted; it's not clear why), half of them will display the "doors" stimulus, and the other half the "faces" stimulus (which, by the way, wouldn't even be possible with 473 instances of the surveypage; 473 isn't divisible by 2. Selection modes in /stimulustimes and -frames simply don't work that way, and should generally be avoided.
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