Millisecond Forums

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sdnlabra2 - 7/14/2023

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Dave - 7/14/2023

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sdnlabra2 - 7/14/2023

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Dave - 7/14/2023

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sdnlabra2 - 7/14/2023

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Dave - 7/14/2023

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sdnlabra - 7/14/2023

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Dave - 7/13/2023

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sdnlabra - 7/13/2023

Hi 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,
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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)]
</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,
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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)]

</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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</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"
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/13="AD_015.jpg"
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/91="AD_118.jpg"
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</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>

<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, 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,
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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,
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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)]

</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
edited_SD_AB_02.jpg
001867_2.jpg
BD_158.jpg
number_22_generated_photos_5f181cb01f67b0000680e014.jpg
002027.jpg
5e6888936d3b380006f209d7.jpg
edited_SD_KD_09.jpg
generated_photos_5e686aa26d3b380006eb37df.png.jpg
image_4_2.jpg
BD_218.jpg
number_142_1657648464300.jpg
BD_238.jpg
image_13.jpg
AD_033.jpg
AD_049.jpg
image_21_2.jpg
000076.jpg
BD_162.jpg
5e68644e6d3b380006e9c4c5.jpg
number_155_1657994909851.jpg
image_29.jpg
003785.jpg
number_20_generated_photos_5f180af61f67b000067b0588.jpg
number_6_generated_photos_5f18357a1f67b000068836ae.jpg
5e6807fe6d3b380006d533d5.jpg
number_23_generated_photos_5e68798a6d3b380006ee9541.jpg
5e6888ea6d3b380006f21d41.jpg
number_3_generated_photos_5e6859666d3b380006e751d5.jpg
002445.jpg
AD_091_cropped.jpg
5e687fc06d3b380006f00707.jpg
photo-by-face-generator_628247982e7805000e7021f4.png.jpg
number_167_1656177119520.jpg
AD_069.jpg
number_166_1656366177565.jpg
000338.jpg
AD_028.jpg
003845.jpg
download-68.jpg
000358.jpg
BD_207.jpg
AD_018.jpg
image_20.jpg
002633.jpg
AD_117.jpg
AD_072_cropped.jpg
BD_209.jpg
AD_083.jpg
AD_113.jpg
BD_194.jpg
5e6873bc6d3b380006ed43b3.jpg
number_43_1656181412213.jpg
edited_SD_TA_12.jpg
BD_157.jpg
BD_124.jpg
AD_067_cropped.jpg
002669.jpg
000989.jpg
edited_DD_AB_08.jpg
003233.jpg
number_146_1657648220927.jpg
number_35_5e6881b36d3b380006f07883.jpg
download-45.jpg
AD_004.jpg
000068.jpg
number_19_00000 (6).jpg
number_148_1656179228669.jpg
edited_DD_TA_06.jpg
edited_SD_EN_01.jpg
number_25_generated_photos_5e687bac6d3b380006ef140f.jpg
5e68548f6d3b380006e638b3.jpg
AD_061.jpg
AD_108.jpg
edited_SD_IT_10.jpg
002117.jpg
001895.jpg
5e6888c76d3b380006f215a3.jpg
edited_DD_KD_02.jpg
AD_044_cropped.jpg
image_16_2.jpg
BD_220_cropped.jpg
BD_222.jpg
number_72_1656612380850.jpg
000021.jpg
BD_185_cropped.jpg
generated_photos_5e6855d86d3b380006e683dd.png.jpg
002733.jpg
AD_019.jpg
BD_153.jpg
AD_109_cropped.jpg
generated_photos_5e682fd36d3b380006de0633.png.jpg
number_182_generated_photos_5e6887c86d3b380006f1db8b.jpg
image_24.jpg
AD_052.jpg
BD_183.jpg
BD_149_cropped.jpg
edited_SD_KD_01.jpg
generated_photos_5e6850986d3b380006e553e3.png.jpg
BD_231.jpg
generated_photos_5f1833b71f67b0000687b590.png.jpg
AD_093.jpg
BD_177.jpg
number_16_00002 (18).jpg
number_7_generated_photos_5f18064d1f67b00006797433.jpg
number_160_1656177761454.jpg
5e68782c6d3b380006ee43e3.jpg
AD_020.jpg
download-42.jpg
AD_078.jpg
000190.jpg
number_30_generated_photos_5e6869326d3b380006eae4e5.jpg
AD_038.jpg
number_2_001817.jpg
edited_DD_TA_08.jpg
BD_127.jpg
BD_155.jpg
edited_DD_KD_06.jpg
AD_096_cropped.jpg
edited_DD_TA_02.jpg
5f8981765bec8300083ebd6e.jpg
AD_053.jpg
edited_DD_KD_07.jpg
generated_photos_5e682ef96d3b380006ddd639.png.jpg
BD_226.jpg
AD_087.jpg
000332.jpg
5f181ca81f67b0000680ddc8.jpg
image_22_2.jpg
BD_140.jpg
image_12_2.jpg
5e6888916d3b380006f2095f.jpg
image_14_2.jpg
image_2.jpg
AD_046.jpg
BD_142.jpg
BD_227.jpg
BD_147.jpg
5e686af06d3b380006eb49ad.jpg
number_4_generated_photos_5f1821ef1f67b000068273d3.jpg
5e6850da6d3b380006e5631b.jpg
AD_120.jpg
number_32_generated_photos_5f18134e1f67b000067ddd06.jpg
image_25.jpg
002627.jpg
AD_107.jpg
003725.jpg
generated_photos_5e685f0b6d3b380006e89833.png.jpg
000572.jpg
number_5-download-16.jpg
image_9.jpg
BD_141.jpg
number_154_1656179098793.jpg
AD_084.jpg
AD_071.jpg
AD_048.jpg
000742.jpg
AD_056.jpg
5e68893e6d3b380006f23021.jpg
AD_013.jpg
edited_DD_KD_12.jpg
_rf3.jpg
BD_239.jpg
5e6803666d3b380006d4300f.jpg
003101.jpg
number_151_1657746235454.jpg
number_168_1656180079507.jpg
BD_161.jpg
BD_233_cropped.jpg
AD_057.jpg
5e68604f6d3b380006e8e1a7.jpg
number_173__1656180486490.jpg
BD_197.jpg
AD_118.jpg
AD_015.jpg
BD_179_cropped.jpg
5e686c956d3b380006eba8d1.jpg
generated_photos_5e68767e6d3b380006ede1a1.png.jpg
000397.jpg
AD_079.jpg
BD_133.jpg
5e685f8f6d3b380006e8b603.jpg
BD_216.jpg
edited_SD_TA_03.jpg
000530.jpg
003827.jpg
BD_136.jpg
generated_photos_5f896dbe5bec83000837936f.jpg
edited_SD_IT_07.jpg
000920.jpg
BD_175.jpg
AD_014.jpg
BD_167.jpg
BD_146.jpg
003605.jpg
000806.jpg
edited_SD_KD_04.jpg
5f1806d31f67b00006799fbc.jpg
002027.jpg
000332.jpg
generated_photos_5e6855d86d3b380006e683dd.png.jpg
image_4_2.jpg
5e6888016d3b380006f1e8ad.jpg
002733.jpg
number_174_1656180550868.jpg
edited_SD_EN_10.jpg
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+x

 

Dave - 7/14/2023

Show me the full code and a data file showing duplicates. Name the images that are supposedly repeated although they shouldn't be.

+x

 

Dave - 7/14/2023

+x

 

Dave - 7/14/2023

Show 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>