Millisecond Forums » Millisecond Forums » Inquisit 6 » Fixing Duplicate Images

Fixing Duplicate Images

sdnlabra — Fri, 14 Jul 2023 20:25:34 GMT

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?

RE: Fixing Duplicate Images

sdnlabra2 — Fri, 14 Jul 2023 20:25:34 GMT

+x[quote]

[b]Dave - 7/14/2023[/b]
+x[quote]

[b]Dave - 7/14/2023[/b]

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

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:

[code]<trial retrieval_instructions>
/ ontrialbegin = [
picture.faces.resetselection();
picture.doors.resetselection();
]
/ stimulusframes = [1=retrieval_instructions; 2=button.continue]
/ inputdevice = mouse
/ validresponse = (continue)
</trial> [/code]
[/quote]

That worked!! THANK YOU SO MUCH!! We couldn't have done it without you. You are THE supreme being.

RE: Fixing Duplicate Images

Dave — Fri, 14 Jul 2023 20:19:27 GMT

+x[quote]

[b]Dave - 7/14/2023[/b]

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

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:

[code]<trial retrieval_instructions>
/ ontrialbegin = [
picture.faces.resetselection();
picture.doors.resetselection();
]
/ stimulusframes = [1=retrieval_instructions; 2=button.continue]
/ inputdevice = mouse
/ validresponse = (continue)
</trial> [/code]

RE: Fixing Duplicate Images

sdnlabra2 — Fri, 14 Jul 2023 20:13:38 GMT

+x[quote]

[b]sdnlabra2 - 7/14/2023[/b]
+x[quote]

[b]Dave - 7/14/2023[/b]
+x[quote]

[b]sdnlabra2 - 7/14/2023[/b]
+x[quote]

[b]Dave - 7/14/2023[/b]
+x[quote]

[b]sdnlabra2 - 7/14/2023[/b]
+x[quote]

[b]Dave - 7/14/2023[/b]
+x[quote]

[b]sdnlabra - 7/14/2023[/b]
+x[quote]

[b]Dave - 7/13/2023[/b]
+x[quote]

[b]sdnlabra - 7/13/2023[/b]
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?
[/quote]

You'll actually have to provide the relevant code, nobody can tell you what you need to do without it.
[/quote]

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)]
[/quote]

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.
[/quote]

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>
[/quote]

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.

[code]<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,
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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,
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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)]
</block>[/code]
[/quote]

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, 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)]

</block>
[/quote]

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

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/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>

<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_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)]

</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>[/code]

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
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BD_135.jpg
[/quote]

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.

RE: Fixing Duplicate Images

sdnlabra2 — Fri, 14 Jul 2023 20:10:06 GMT

+x[quote]

[b]Dave - 7/14/2023[/b]
+x[quote]

[b]sdnlabra2 - 7/14/2023[/b]
+x[quote]

[b]Dave - 7/14/2023[/b]
+x[quote]

[b]sdnlabra2 - 7/14/2023[/b]
+x[quote]

[b]Dave - 7/14/2023[/b]
+x[quote]

[b]sdnlabra - 7/14/2023[/b]
+x[quote]

[b]Dave - 7/13/2023[/b]
+x[quote]

[b]sdnlabra - 7/13/2023[/b]
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?
[/quote]

You'll actually have to provide the relevant code, nobody can tell you what you need to do without it.
[/quote]

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)]
[/quote]

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.
[/quote]

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>
[/quote]

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.

[code]<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,
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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,
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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,
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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,
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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>[/code]
[/quote]

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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</block>
[/quote]

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

[code]<item faces>
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</item>

<item doors>
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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>
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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)]

</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>[/code]

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
image_21_2.jpg
5f8978d15bec8300083ba9e2.jpg
5f180d451f67b000067bcdba.jpg
number_162_1656180912448.jpg
BD_236.jpg
BD_192.jpg
number_30_generated_photos_5e6869326d3b380006eae4e5.jpg
image_13.jpg
generated_photos_5f182ef91f67b00006865ebe.png.jpg
000190.jpg
AD_033.jpg
BD_161.jpg
BD_174.jpg
edited_SD_AB_03.jpg
AD_083.jpg
BD_239.jpg
AD_054.jpg
number_121_1656366861496.jpg
AD_040.jpg
BD_236.jpg
AD_024.jpg
generated_photos_5e6805646d3b380006d4a29f.png.jpg
AD_118.jpg
AD_104.jpg
AD_046.jpg
number_72_1656612380850.jpg
edited_DD_TA_08.jpg
number_24_generated_photos_5e685f786d3b380006e8b0f7.jpg
BD_126.jpg
edited_DD_AB_09.jpg
5e68782c6d3b380006ee43e3.jpg
5e6807fe6d3b380006d533d5.jpg
generated_photos_5e686ba56d3b380006eb728b.png.jpg
number_156_1658008720958.jpg
edited_DD_KD_12.jpg
000742.jpg
number_182_generated_photos_5e6887c86d3b380006f1db8b.jpg
5e6859fc6d3b380006e77365.jpg
AD_047.jpg
003959.jpg
BD_194.jpg
number_160_1656177761454.jpg
generated_photos_5e68644e6d3b380006e9c4c5.png.jpg
BD_153.jpg
BD_154.jpg
5e68893e6d3b380006f23021.jpg
image_5_2.jpg
5e6850da6d3b380006e5631b.jpg
BD_198.jpg
download-61.jpg
AD_052.jpg
000047.jpg
001250.jpg
000359.jpg
image_29.jpg
AD_064_cropped.jpg
download-45.jpg
5e6869306d3b380006eae455.jpg
image_30_2.jpg
BD_147.jpg
AD_066_cropped.jpg
image_7_2.jpg
BD_141.jpg
AD_013.jpg
000206.jpg
BD_124.jpg
AD_042.jpg
BD_156.jpg
1-000003 - Copy-0.jpg
BD_132_cropped.jpg
BD_200.jpg
number_10_00000 (18).jpg
5f1805461f67b00006791a9c.jpg
BD_152.jpg
AD_030.jpg
BD_222.jpg
BD_225.jpg
number_181_generated_photos_5e68648d6d3b380006e9d287.jpg
AD_037.jpg
BD_183.jpg
BD_157.jpg
number_184_656180207847.jpg
image_27.jpg
BD_125.jpg
number_17_00001.jpg
1-000003 - Copy_1.jpg
AD_005.jpg
generated_photos_5e684cbd6d3b380006e47587.png.jpg
number_170_1656181018824.jpg
AD_117.jpg
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

RE: Fixing Duplicate Images

Dave — Fri, 14 Jul 2023 20:02:15 GMT

+x[quote]

[b]sdnlabra2 - 7/14/2023[/b]
+x[quote]

[b]Dave - 7/14/2023[/b]
+x[quote]

[b]sdnlabra2 - 7/14/2023[/b]
+x[quote]

[b]Dave - 7/14/2023[/b]
+x[quote]

[b]sdnlabra - 7/14/2023[/b]
+x[quote]

[b]Dave - 7/13/2023[/b]
+x[quote]

[b]sdnlabra - 7/13/2023[/b]
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?
[/quote]

You'll actually have to provide the relevant code, nobody can tell you what you need to do without it.
[/quote]

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)]
[/quote]

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.
[/quote]

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>
[/quote]

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.

[code]<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,
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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)]
</block>[/code]
[/quote]

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_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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</block>
[/quote]

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

RE: Fixing Duplicate Images

sdnlabra2 — Fri, 14 Jul 2023 19:54:36 GMT

+x[quote]

[b]Dave - 7/14/2023[/b]
+x[quote]

[b]sdnlabra2 - 7/14/2023[/b]
+x[quote]

[b]Dave - 7/14/2023[/b]
+x[quote]

[b]sdnlabra - 7/14/2023[/b]
+x[quote]

[b]Dave - 7/13/2023[/b]
+x[quote]

[b]sdnlabra - 7/13/2023[/b]
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?
[/quote]

You'll actually have to provide the relevant code, nobody can tell you what you need to do without it.
[/quote]

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)]
[/quote]

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.
[/quote]

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>
[/quote]

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.

[code]<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,
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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,
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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)]
</block>[/code]
[/quote]

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, 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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</block>

RE: Fixing Duplicate Images

Dave — Fri, 14 Jul 2023 01:40:09 GMT

+x[quote]

[b]sdnlabra2 - 7/14/2023[/b]
+x[quote]

[b]Dave - 7/14/2023[/b]
+x[quote]

[b]sdnlabra - 7/14/2023[/b]
+x[quote]

[b]Dave - 7/13/2023[/b]
+x[quote]

[b]sdnlabra - 7/13/2023[/b]
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?
[/quote]

You'll actually have to provide the relevant code, nobody can tell you what you need to do without it.
[/quote]

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)]
[/quote]

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.
[/quote]

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>
[/quote]

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.

[code]<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>[/code]

RE: Fixing Duplicate Images

sdnlabra2 — Fri, 14 Jul 2023 01:33:10 GMT

+x[quote]

[b]Dave - 7/14/2023[/b]
+x[quote]

[b]sdnlabra2 - 7/14/2023[/b]
+x[quote]

[b]Dave - 7/14/2023[/b]
+x[quote]

[b]sdnlabra - 7/14/2023[/b]
+x[quote]

[b]Dave - 7/13/2023[/b]
+x[quote]

[b]sdnlabra - 7/13/2023[/b]
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?
[/quote]

You'll actually have to provide the relevant code, nobody can tell you what you need to do without it.
[/quote]

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)]
[/quote]

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.
[/quote]

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>
[/quote]

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.

[code]<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>[/code]
[/quote]

thanks dav

RE: Fixing Duplicate Images

Dave — Fri, 14 Jul 2023 01:16:14 GMT

+x[quote]

[b]sdnlabra - 7/14/2023[/b]
+x[quote]

[b]Dave - 7/13/2023[/b]
+x[quote]

[b]sdnlabra - 7/13/2023[/b]
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?
[/quote]

You'll actually have to provide the relevant code, nobody can tell you what you need to do without it.
[/quote]

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)]
[/quote]

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.

RE: Fixing Duplicate Images

sdnlabra2 — Fri, 14 Jul 2023 01:14:53 GMT

+x[quote]

[b]Dave - 7/14/2023[/b]
+x[quote]

[b]sdnlabra - 7/14/2023[/b]
+x[quote]

[b]Dave - 7/13/2023[/b]
+x[quote]

[b]sdnlabra - 7/13/2023[/b]
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?
[/quote]

You'll actually have to provide the relevant code, nobody can tell you what you need to do without it.
[/quote]

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)]
[/quote]

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.
[/quote]

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>

RE: Fixing Duplicate Images

sdnlabra — Fri, 14 Jul 2023 00:10:56 GMT

+x[quote]

[b]Dave - 7/13/2023[/b]
+x[quote]

[b]sdnlabra - 7/13/2023[/b]
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?
[/quote]

You'll actually have to provide the relevant code, nobody can tell you what you need to do without it.
[/quote]

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)]

RE: Fixing Duplicate Images

Dave — Thu, 13 Jul 2023 22:42:14 GMT

+x[quote]

[b]sdnlabra - 7/13/2023[/b]
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?
[/quote]

You'll actually have to provide the relevant code, nobody can tell you what you need to do without it.