Millisecond Forums

+x

 

sdnlabra - 7/13/2023

Hi all,
My colleagues and I are attempting to run a study on Inquisit that contains two trials. The participant is meant to never see the same image twice within the second trial, yet we keep seeing duplicates within this trial. There are enough images so that none need to be shown twice, and we do not have this issue within the first trial. Is there any code we can use in the script to ensure there are not any duplicates?

+x

 

Dave - 7/13/2023

+x

 

sdnlabra - 7/13/2023

Hi all,
My colleagues and I are attempting to run a study on Inquisit that contains two trials. The participant is meant to never see the same image twice within the second trial, yet we keep seeing duplicates within this trial. There are enough images so that none need to be shown twice, and we do not have this issue within the first trial. Is there any code we can use in the script to ensure there are not any duplicates?

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

+x

 

sdnlabra - 7/14/2023

+x

 

Dave - 7/13/2023

+x

 

sdnlabra - 7/13/2023

Hi all,
My colleagues and I are attempting to run a study on Inquisit that contains two trials. The participant is meant to never see the same image twice within the second trial, yet we keep seeing duplicates within this trial. There are enough images so that none need to be shown twice, and we do not have this issue within the first trial. Is there any code we can use in the script to ensure there are not any duplicates?

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

Oh, that makes sense.
Here is the relevant code:

<trial encoding>
/ ontrialbegin = [
    if (list.pics.nextvalue == picture.doors){
        values.key_1 = "1";
        values.key_2 = "2";
    } else {
        values.key_1 = "8";
        values.key_2 = "9";
    }
]

/ stimulusframes = [1=list.pics; 2=scancode]
/ validresponse = (values.key_1, values.key_2)

</trial>

<surveypage recognition>
/ questions = [1=slider.rating]
/ showpagenumbers = false
/ showquestionnumbers = false
/ stimulusframes = [1=noreplace(picture.doors,picture.faces); 2=text.studied; 3=text.notstudied]
</surveypage>

<block full>
/ trials = [1=instructions; 2-237=noreplace(trial.encoding); 238=retrieval_instructions; 239-711=noreplace(recognition)]

+x

 

Dave - 7/14/2023

+x

 

sdnlabra - 7/14/2023

+x

 

Dave - 7/13/2023

+x

 

sdnlabra - 7/13/2023

Hi all,
My colleagues and I are attempting to run a study on Inquisit that contains two trials. The participant is meant to never see the same image twice within the second trial, yet we keep seeing duplicates within this trial. There are enough images so that none need to be shown twice, and we do not have this issue within the first trial. Is there any code we can use in the script to ensure there are not any duplicates?

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

Oh, that makes sense.
Here is the relevant code:

<trial encoding>
/ ontrialbegin = [
    if (list.pics.nextvalue == picture.doors){
        values.key_1 = "1";
        values.key_2 = "2";
    } else {
        values.key_1 = "8";
        values.key_2 = "9";
    }
]

/ stimulusframes = [1=list.pics; 2=scancode]
/ validresponse = (values.key_1, values.key_2)

</trial>

<surveypage recognition>
/ questions = [1=slider.rating]
/ showpagenumbers = false
/ showquestionnumbers = false
/ stimulusframes = [1=noreplace(picture.doors,picture.faces); 2=text.studied; 3=text.notstudied]
</surveypage>

<block full>
/ trials = [1=instructions; 2-237=noreplace(trial.encoding); 238=retrieval_instructions; 239-711=noreplace(recognition)]

Sorry, those few snippets say absolutely nothing about how many pictures there are, whether there are enough items, etc.

Nor does it make clear what you are actually referring to as "first" trial and what you are referring to as "second" trial in your original post.

Provide something that can actually run please and is sufficiently complete to make sense of. Please also make clear what exactly you are referring to.

For what it's worth, however, this here

/ stimulusframes = [1=noreplace(picture.doors,picture.faces); 2=text.studied; 3=text.notstudied]

will not work; it does not, for example, guarantee that across however many instances of the surveypage you run, half of them will display the "doors" stimulus, and the other half the "faces" stimulus. Selection modes in /stimulustimes and -frames simply don't work that way, and should generally be avoided.

+x

 

sdnlabra2 - 7/14/2023

+x

 

Dave - 7/14/2023

+x

 

sdnlabra - 7/14/2023

+x

 

Dave - 7/13/2023

+x

 

sdnlabra - 7/13/2023

Hi all,
My colleagues and I are attempting to run a study on Inquisit that contains two trials. The participant is meant to never see the same image twice within the second trial, yet we keep seeing duplicates within this trial. There are enough images so that none need to be shown twice, and we do not have this issue within the first trial. Is there any code we can use in the script to ensure there are not any duplicates?

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

Oh, that makes sense.
Here is the relevant code:

<trial encoding>
/ ontrialbegin = [
    if (list.pics.nextvalue == picture.doors){
        values.key_1 = "1";
        values.key_2 = "2";
    } else {
        values.key_1 = "8";
        values.key_2 = "9";
    }
]

/ stimulusframes = [1=list.pics; 2=scancode]
/ validresponse = (values.key_1, values.key_2)

</trial>

<surveypage recognition>
/ questions = [1=slider.rating]
/ showpagenumbers = false
/ showquestionnumbers = false
/ stimulusframes = [1=noreplace(picture.doors,picture.faces); 2=text.studied; 3=text.notstudied]
</surveypage>

<block full>
/ trials = [1=instructions; 2-237=noreplace(trial.encoding); 238=retrieval_instructions; 239-711=noreplace(recognition)]

Sorry, those few snippets say absolutely nothing about how many pictures there are, whether there are enough items, etc.

Nor does it make clear what you are actually referring to as "first" trial and what you are referring to as "second" trial in your original post.

Provide something that can actually run please and is sufficiently complete to make sense of. Please also make clear what exactly you are referring to.

For what it's worth, however, this here

/ stimulusframes = [1=noreplace(picture.doors,picture.faces); 2=text.studied; 3=text.notstudied]

will not work; it does not, for example, guarantee that across however many instances of the surveypage you run, half of them will display the "doors" stimulus, and the other half the "faces" stimulus. Selection modes in /stimulustimes and -frames simply don't work that way, and should generally be avoided.

Here is the full code excluding two item sections, <item faces> (247 images) and <item doors> (226 images):
Thanks for your help. 

<text scancode>
/ items = ("for doors: press 1 (single) or 2 (double)
for faces: press 8 (parent of a 13-17 year old) or 9 (NOT a parent of a 13-17 year old)")
/ position = (40%, 75%)
</text>
<picture faces>
/items = item.faces
/position = (50%,30%)
/size = (50%,50%)
/select = noreplace
</picture>

<picture doors>
/items = item.doors
/position = (50%,30%)
/size = (50%,50%)
/select = noreplace
</picture>

<list pics>
/items = (picture.doors,picture.faces)
/ selectionmode = random
/ replace = false
/ poolsize = 236
/ itemprobabilities = [
    .5;.5
]
</list>

<values>
/key_1 = ""
/key_2 = ""
</values>
<trial encoding>
/ ontrialbegin = [
    if (list.pics.nextvalue == picture.doors){
        values.key_1 = "1";
        values.key_2 = "2";
    } else {
        values.key_1 = "8";
        values.key_2 = "9";
    }
]

/ stimulusframes = [1=list.pics; 2=scancode]
/ validresponse = (values.key_1, values.key_2)

</trial>

<surveypage recognition>
/ questions = [1=slider.rating]
/ showpagenumbers = false
/ showquestionnumbers = false
/ stimulusframes = [1=noreplace(picture.doors,picture.faces); 2=text.studied; 3=text.notstudied]
</surveypage>

<block full>
/ trials = [1=instructions; 2-237=noreplace(trial.encoding); 238=retrieval_instructions; 239-711=noreplace(surveypage.recognition)]

</block>
<text studied>
/ items = ("STUDIED")
/ position = (30%,86%)
/ size = (10%, 10%)
</text>
<text notstudied>
/ items = ("DID NOT STUDY")
/ position = (74%,86%)
/ size = (10%, 10%)
</text>
<slider rating>
/labels = ("definitely old", "maybe old", "maybe new", "definitely new")
/ subcaptionfontstyle = (2.5%)
/ range = (0,3)
/ slidersize = (50%,30%)
/ showticks = true
/ required = false
/ position = (25%, 75%)
/ defaultresponse = 0
</slider>
<text instructions>
/items = ("In this task, you will be shown a series of pictures.

If you see a door, Press 1 if it is a single door or 2 if it is a double door.

If you see a face, Press 8 if it DOES look like the parent of a 13-17 year old, or 9 if it does NOT look like the parent of a 13-17 year old.

Press the Continue button to begin.")
/ position = (50%, 50%)
</text>
<trial instructions>
/ stimulusframes = [1=instructions, button.continue]
/ validresponse = (continue)
/ inputdevice = mouse
</trial>
<button continue>
/caption = "Continue"
/size = (10%,5%)
/position = (50%,75%)
</button>

<text retrieval_instructions>
/items = ("Now you will be shown a second series of pictures, although this time, your job is to figure out whether you saw the image in the last series or not.

You will have four response options: 'definitely old' means you are sure you saw the picture earlier,

'maybe old' means you think you saw the picture earlier,

'maybe new' means you don't think you saw the picture earlier,

and 'definitely new' means you are sure that you did not see the picture earlier.

Press Continue to begin.")
/ position = (50%, 50%)
</text>

<trial retrieval_instructions>
/ stimulusframes = [1=retrieval_instructions; 2=button.continue]
/ inputdevice = mouse
/ validresponse = (continue)
</trial>

+x

 

Dave - 7/14/2023

+x

 

sdnlabra2 - 7/14/2023

+x

 

Dave - 7/14/2023

+x

 

sdnlabra - 7/14/2023

+x

 

Dave - 7/13/2023

+x

 

sdnlabra - 7/13/2023

Hi all,
My colleagues and I are attempting to run a study on Inquisit that contains two trials. The participant is meant to never see the same image twice within the second trial, yet we keep seeing duplicates within this trial. There are enough images so that none need to be shown twice, and we do not have this issue within the first trial. Is there any code we can use in the script to ensure there are not any duplicates?

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

Oh, that makes sense.
Here is the relevant code:

<trial encoding>
/ ontrialbegin = [
    if (list.pics.nextvalue == picture.doors){
        values.key_1 = "1";
        values.key_2 = "2";
    } else {
        values.key_1 = "8";
        values.key_2 = "9";
    }
]

/ stimulusframes = [1=list.pics; 2=scancode]
/ validresponse = (values.key_1, values.key_2)

</trial>

<surveypage recognition>
/ questions = [1=slider.rating]
/ showpagenumbers = false
/ showquestionnumbers = false
/ stimulusframes = [1=noreplace(picture.doors,picture.faces); 2=text.studied; 3=text.notstudied]
</surveypage>

<block full>
/ trials = [1=instructions; 2-237=noreplace(trial.encoding); 238=retrieval_instructions; 239-711=noreplace(recognition)]

Sorry, those few snippets say absolutely nothing about how many pictures there are, whether there are enough items, etc.

Nor does it make clear what you are actually referring to as "first" trial and what you are referring to as "second" trial in your original post.

Provide something that can actually run please and is sufficiently complete to make sense of. Please also make clear what exactly you are referring to.

For what it's worth, however, this here

/ stimulusframes = [1=noreplace(picture.doors,picture.faces); 2=text.studied; 3=text.notstudied]

will not work; it does not, for example, guarantee that across however many instances of the surveypage you run, half of them will display the "doors" stimulus, and the other half the "faces" stimulus. Selection modes in /stimulustimes and -frames simply don't work that way, and should generally be avoided.

Here is the full code excluding two item sections, <item faces> (247 images) and <item doors> (226 images):
Thanks for your help. 

<text scancode>
/ items = ("for doors: press 1 (single) or 2 (double)
for faces: press 8 (parent of a 13-17 year old) or 9 (NOT a parent of a 13-17 year old)")
/ position = (40%, 75%)
</text>
<picture faces>
/items = item.faces
/position = (50%,30%)
/size = (50%,50%)
/select = noreplace
</picture>

<picture doors>
/items = item.doors
/position = (50%,30%)
/size = (50%,50%)
/select = noreplace
</picture>

<list pics>
/items = (picture.doors,picture.faces)
/ selectionmode = random
/ replace = false
/ poolsize = 236
/ itemprobabilities = [
    .5;.5
]
</list>

<values>
/key_1 = ""
/key_2 = ""
</values>
<trial encoding>
/ ontrialbegin = [
    if (list.pics.nextvalue == picture.doors){
        values.key_1 = "1";
        values.key_2 = "2";
    } else {
        values.key_1 = "8";
        values.key_2 = "9";
    }
]

/ stimulusframes = [1=list.pics; 2=scancode]
/ validresponse = (values.key_1, values.key_2)

</trial>

<surveypage recognition>
/ questions = [1=slider.rating]
/ showpagenumbers = false
/ showquestionnumbers = false
/ stimulusframes = [1=noreplace(picture.doors,picture.faces); 2=text.studied; 3=text.notstudied]
</surveypage>

<block full>
/ trials = [1=instructions; 2-237=noreplace(trial.encoding); 238=retrieval_instructions; 239-711=noreplace(surveypage.recognition)]

</block>
<text studied>
/ items = ("STUDIED")
/ position = (30%,86%)
/ size = (10%, 10%)
</text>
<text notstudied>
/ items = ("DID NOT STUDY")
/ position = (74%,86%)
/ size = (10%, 10%)
</text>
<slider rating>
/labels = ("definitely old", "maybe old", "maybe new", "definitely new")
/ subcaptionfontstyle = (2.5%)
/ range = (0,3)
/ slidersize = (50%,30%)
/ showticks = true
/ required = false
/ position = (25%, 75%)
/ defaultresponse = 0
</slider>
<text instructions>
/items = ("In this task, you will be shown a series of pictures.

If you see a door, Press 1 if it is a single door or 2 if it is a double door.

If you see a face, Press 8 if it DOES look like the parent of a 13-17 year old, or 9 if it does NOT look like the parent of a 13-17 year old.

Press the Continue button to begin.")
/ position = (50%, 50%)
</text>
<trial instructions>
/ stimulusframes = [1=instructions, button.continue]
/ validresponse = (continue)
/ inputdevice = mouse
</trial>
<button continue>
/caption = "Continue"
/size = (10%,5%)
/position = (50%,75%)
</button>

<text retrieval_instructions>
/items = ("Now you will be shown a second series of pictures, although this time, your job is to figure out whether you saw the image in the last series or not.

You will have four response options: 'definitely old' means you are sure you saw the picture earlier,

'maybe old' means you think you saw the picture earlier,

'maybe new' means you don't think you saw the picture earlier,

and 'definitely new' means you are sure that you did not see the picture earlier.

Press Continue to begin.")
/ position = (50%, 50%)
</text>

<trial retrieval_instructions>
/ stimulusframes = [1=retrieval_instructions; 2=button.continue]
/ inputdevice = mouse
/ validresponse = (continue)
</trial>

In short, what you'll want to do is have two recognition surveypage, one displaying only the "doors" stimulus, another one displaying only the "faces" stimulus.

Then sample from these in the desired ratio (247:226); 247 and 226 have no common denominator greater than 1, so you'll have spell that noreplace() pool out in full.

<block full>
/ trials = [1=instructions; 2-237=noreplace(trial.encoding); 238=retrieval_instructions;
239-711=noreplace(recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces,
recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces,
recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces,
recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces,
recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces,
recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces,
recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces,
recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces,
recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces,
recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces,
recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces,
recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces,
recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces,
recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces,
recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces,
recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces,
recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces,
recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces,
recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces,
recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces,
recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces,
recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces,
recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces,
recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_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>

+x

 

Dave - 7/14/2023

+x

 

sdnlabra2 - 7/14/2023

+x

 

Dave - 7/14/2023

+x

 

sdnlabra - 7/14/2023

+x

 

Dave - 7/13/2023

+x

 

sdnlabra - 7/13/2023

Hi all,
My colleagues and I are attempting to run a study on Inquisit that contains two trials. The participant is meant to never see the same image twice within the second trial, yet we keep seeing duplicates within this trial. There are enough images so that none need to be shown twice, and we do not have this issue within the first trial. Is there any code we can use in the script to ensure there are not any duplicates?

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

Oh, that makes sense.
Here is the relevant code:

<trial encoding>
/ ontrialbegin = [
    if (list.pics.nextvalue == picture.doors){
        values.key_1 = "1";
        values.key_2 = "2";
    } else {
        values.key_1 = "8";
        values.key_2 = "9";
    }
]

/ stimulusframes = [1=list.pics; 2=scancode]
/ validresponse = (values.key_1, values.key_2)

</trial>

<surveypage recognition>
/ questions = [1=slider.rating]
/ showpagenumbers = false
/ showquestionnumbers = false
/ stimulusframes = [1=noreplace(picture.doors,picture.faces); 2=text.studied; 3=text.notstudied]
</surveypage>

<block full>
/ trials = [1=instructions; 2-237=noreplace(trial.encoding); 238=retrieval_instructions; 239-711=noreplace(recognition)]

Sorry, those few snippets say absolutely nothing about how many pictures there are, whether there are enough items, etc.

Nor does it make clear what you are actually referring to as "first" trial and what you are referring to as "second" trial in your original post.

Provide something that can actually run please and is sufficiently complete to make sense of. Please also make clear what exactly you are referring to.

For what it's worth, however, this here

/ stimulusframes = [1=noreplace(picture.doors,picture.faces); 2=text.studied; 3=text.notstudied]

will not work; it does not, for example, guarantee that across however many instances of the surveypage you run, half of them will display the "doors" stimulus, and the other half the "faces" stimulus. Selection modes in /stimulustimes and -frames simply don't work that way, and should generally be avoided.

Here is the full code excluding two item sections, <item faces> (247 images) and <item doors> (226 images):
Thanks for your help. 

<text scancode>
/ items = ("for doors: press 1 (single) or 2 (double)
for faces: press 8 (parent of a 13-17 year old) or 9 (NOT a parent of a 13-17 year old)")
/ position = (40%, 75%)
</text>
<picture faces>
/items = item.faces
/position = (50%,30%)
/size = (50%,50%)
/select = noreplace
</picture>

<picture doors>
/items = item.doors
/position = (50%,30%)
/size = (50%,50%)
/select = noreplace
</picture>

<list pics>
/items = (picture.doors,picture.faces)
/ selectionmode = random
/ replace = false
/ poolsize = 236
/ itemprobabilities = [
    .5;.5
]
</list>

<values>
/key_1 = ""
/key_2 = ""
</values>
<trial encoding>
/ ontrialbegin = [
    if (list.pics.nextvalue == picture.doors){
        values.key_1 = "1";
        values.key_2 = "2";
    } else {
        values.key_1 = "8";
        values.key_2 = "9";
    }
]

/ stimulusframes = [1=list.pics; 2=scancode]
/ validresponse = (values.key_1, values.key_2)

</trial>

<surveypage recognition>
/ questions = [1=slider.rating]
/ showpagenumbers = false
/ showquestionnumbers = false
/ stimulusframes = [1=noreplace(picture.doors,picture.faces); 2=text.studied; 3=text.notstudied]
</surveypage>

<block full>
/ trials = [1=instructions; 2-237=noreplace(trial.encoding); 238=retrieval_instructions; 239-711=noreplace(surveypage.recognition)]

</block>
<text studied>
/ items = ("STUDIED")
/ position = (30%,86%)
/ size = (10%, 10%)
</text>
<text notstudied>
/ items = ("DID NOT STUDY")
/ position = (74%,86%)
/ size = (10%, 10%)
</text>
<slider rating>
/labels = ("definitely old", "maybe old", "maybe new", "definitely new")
/ subcaptionfontstyle = (2.5%)
/ range = (0,3)
/ slidersize = (50%,30%)
/ showticks = true
/ required = false
/ position = (25%, 75%)
/ defaultresponse = 0
</slider>
<text instructions>
/items = ("In this task, you will be shown a series of pictures.

If you see a door, Press 1 if it is a single door or 2 if it is a double door.

If you see a face, Press 8 if it DOES look like the parent of a 13-17 year old, or 9 if it does NOT look like the parent of a 13-17 year old.

Press the Continue button to begin.")
/ position = (50%, 50%)
</text>
<trial instructions>
/ stimulusframes = [1=instructions, button.continue]
/ validresponse = (continue)
/ inputdevice = mouse
</trial>
<button continue>
/caption = "Continue"
/size = (10%,5%)
/position = (50%,75%)
</button>

<text retrieval_instructions>
/items = ("Now you will be shown a second series of pictures, although this time, your job is to figure out whether you saw the image in the last series or not.

You will have four response options: 'definitely old' means you are sure you saw the picture earlier,

'maybe old' means you think you saw the picture earlier,

'maybe new' means you don't think you saw the picture earlier,

and 'definitely new' means you are sure that you did not see the picture earlier.

Press Continue to begin.")
/ position = (50%, 50%)
</text>

<trial retrieval_instructions>
/ stimulusframes = [1=retrieval_instructions; 2=button.continue]
/ inputdevice = mouse
/ validresponse = (continue)
</trial>

In short, what you'll want to do is have two recognition surveypages, one displaying only the "doors" stimulus, another one displaying only the "faces" stimulus.

Then sample from these in the desired ratio (247:226); 247 and 226 have no common denominator greater than 1, so you'll have spell that noreplace() pool out in full.

<block full>
/ trials = [1=instructions; 2-237=noreplace(trial.encoding); 238=retrieval_instructions;
239-711=noreplace(recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces,
recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces,
recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces,
recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces,
recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces,
recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces,
recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces,
recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces,
recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces,
recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces,
recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces,
recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces,
recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces,
recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces,
recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces,
recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces,
recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces,
recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces,
recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces,
recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces,
recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces,
recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces,
recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces,
recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_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,
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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,
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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)]
</block>

+x

 

sdnlabra2 - 7/14/2023

+x

 

Dave - 7/14/2023

+x

 

sdnlabra2 - 7/14/2023

+x

 

Dave - 7/14/2023

+x

 

sdnlabra - 7/14/2023

+x

 

Dave - 7/13/2023

+x

 

sdnlabra - 7/13/2023

Hi all,
My colleagues and I are attempting to run a study on Inquisit that contains two trials. The participant is meant to never see the same image twice within the second trial, yet we keep seeing duplicates within this trial. There are enough images so that none need to be shown twice, and we do not have this issue within the first trial. Is there any code we can use in the script to ensure there are not any duplicates?

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

Oh, that makes sense.
Here is the relevant code:

<trial encoding>
/ ontrialbegin = [
    if (list.pics.nextvalue == picture.doors){
        values.key_1 = "1";
        values.key_2 = "2";
    } else {
        values.key_1 = "8";
        values.key_2 = "9";
    }
]

/ stimulusframes = [1=list.pics; 2=scancode]
/ validresponse = (values.key_1, values.key_2)

</trial>

<surveypage recognition>
/ questions = [1=slider.rating]
/ showpagenumbers = false
/ showquestionnumbers = false
/ stimulusframes = [1=noreplace(picture.doors,picture.faces); 2=text.studied; 3=text.notstudied]
</surveypage>

<block full>
/ trials = [1=instructions; 2-237=noreplace(trial.encoding); 238=retrieval_instructions; 239-711=noreplace(recognition)]

Sorry, those few snippets say absolutely nothing about how many pictures there are, whether there are enough items, etc.

Nor does it make clear what you are actually referring to as "first" trial and what you are referring to as "second" trial in your original post.

Provide something that can actually run please and is sufficiently complete to make sense of. Please also make clear what exactly you are referring to.

For what it's worth, however, this here

/ stimulusframes = [1=noreplace(picture.doors,picture.faces); 2=text.studied; 3=text.notstudied]

will not work; it does not, for example, guarantee that across however many instances of the surveypage you run, half of them will display the "doors" stimulus, and the other half the "faces" stimulus. Selection modes in /stimulustimes and -frames simply don't work that way, and should generally be avoided.

Here is the full code excluding two item sections, <item faces> (247 images) and <item doors> (226 images):
Thanks for your help. 

<text scancode>
/ items = ("for doors: press 1 (single) or 2 (double)
for faces: press 8 (parent of a 13-17 year old) or 9 (NOT a parent of a 13-17 year old)")
/ position = (40%, 75%)
</text>
<picture faces>
/items = item.faces
/position = (50%,30%)
/size = (50%,50%)
/select = noreplace
</picture>

<picture doors>
/items = item.doors
/position = (50%,30%)
/size = (50%,50%)
/select = noreplace
</picture>

<list pics>
/items = (picture.doors,picture.faces)
/ selectionmode = random
/ replace = false
/ poolsize = 236
/ itemprobabilities = [
    .5;.5
]
</list>

<values>
/key_1 = ""
/key_2 = ""
</values>
<trial encoding>
/ ontrialbegin = [
    if (list.pics.nextvalue == picture.doors){
        values.key_1 = "1";
        values.key_2 = "2";
    } else {
        values.key_1 = "8";
        values.key_2 = "9";
    }
]

/ stimulusframes = [1=list.pics; 2=scancode]
/ validresponse = (values.key_1, values.key_2)

</trial>

<surveypage recognition>
/ questions = [1=slider.rating]
/ showpagenumbers = false
/ showquestionnumbers = false
/ stimulusframes = [1=noreplace(picture.doors,picture.faces); 2=text.studied; 3=text.notstudied]
</surveypage>

<block full>
/ trials = [1=instructions; 2-237=noreplace(trial.encoding); 238=retrieval_instructions; 239-711=noreplace(surveypage.recognition)]

</block>
<text studied>
/ items = ("STUDIED")
/ position = (30%,86%)
/ size = (10%, 10%)
</text>
<text notstudied>
/ items = ("DID NOT STUDY")
/ position = (74%,86%)
/ size = (10%, 10%)
</text>
<slider rating>
/labels = ("definitely old", "maybe old", "maybe new", "definitely new")
/ subcaptionfontstyle = (2.5%)
/ range = (0,3)
/ slidersize = (50%,30%)
/ showticks = true
/ required = false
/ position = (25%, 75%)
/ defaultresponse = 0
</slider>
<text instructions>
/items = ("In this task, you will be shown a series of pictures.

If you see a door, Press 1 if it is a single door or 2 if it is a double door.

If you see a face, Press 8 if it DOES look like the parent of a 13-17 year old, or 9 if it does NOT look like the parent of a 13-17 year old.

Press the Continue button to begin.")
/ position = (50%, 50%)
</text>
<trial instructions>
/ stimulusframes = [1=instructions, button.continue]
/ validresponse = (continue)
/ inputdevice = mouse
</trial>
<button continue>
/caption = "Continue"
/size = (10%,5%)
/position = (50%,75%)
</button>

<text retrieval_instructions>
/items = ("Now you will be shown a second series of pictures, although this time, your job is to figure out whether you saw the image in the last series or not.

You will have four response options: 'definitely old' means you are sure you saw the picture earlier,

'maybe old' means you think you saw the picture earlier,

'maybe new' means you don't think you saw the picture earlier,

and 'definitely new' means you are sure that you did not see the picture earlier.

Press Continue to begin.")
/ position = (50%, 50%)
</text>

<trial retrieval_instructions>
/ stimulusframes = [1=retrieval_instructions; 2=button.continue]
/ inputdevice = mouse
/ validresponse = (continue)
</trial>

In short, what you'll want to do is have two recognition surveypages, one displaying only the "doors" stimulus, another one displaying only the "faces" stimulus.

Then sample from these in the desired ratio (247:226); 247 and 226 have no common denominator greater than 1, so you'll have spell that noreplace() pool out in full.

<block full>
/ trials = [1=instructions; 2-237=noreplace(trial.encoding); 238=retrieval_instructions;
239-711=noreplace(recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces,
recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces,
recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces,
recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces,
recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces,
recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces,
recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces,
recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces,
recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces,
recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces,
recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces,
recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces,
recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces, recognition_faces,
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recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors,
recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors, recognition_doors)]
</block>

Hi Dave, sorry for the trouble. We tried this, but we are still getting some images twice and others zero times for the recognition part. We just want to show each of the 473 images once in a random order. This is what we have right now. Any suggestions?
...
<surveypage recognition_faces>
/ questions = [1=slider.rating]
/ showpagenumbers = false
/ showquestionnumbers = false
/ stimulusframes=[1=picture.faces; 2=text.studied; 3=text.notstudied]
</surveypage>

<surveypage recognition_doors>
/ questions = [1=slider.rating]
/ showpagenumbers = false
/ showquestionnumbers = false
/ stimulusframes=[1=picture.doors; 2=text.studied; 3=text.notstudied]
</surveypage>

<block full>
/ trials = [1=instructions; 2-237=noreplace(trial.encoding); 238=retrieval_instructions; 239-711=noreplace(surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces, surveypage.recognition_faces,
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>

+x

 

Dave - 7/14/2023

+x

 

sdnlabra2 - 7/14/2023

+x

 

Dave - 7/14/2023

+x

 

sdnlabra2 - 7/14/2023

+x

 

Dave - 7/14/2023

+x

 

sdnlabra - 7/14/2023

+x

 

Dave - 7/13/2023

+x

 

sdnlabra - 7/13/2023

Hi all,
My colleagues and I are attempting to run a study on Inquisit that contains two trials. The participant is meant to never see the same image twice within the second trial, yet we keep seeing duplicates within this trial. There are enough images so that none need to be shown twice, and we do not have this issue within the first trial. Is there any code we can use in the script to ensure there are not any duplicates?

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

Oh, that makes sense.
Here is the relevant code:

<trial encoding>
/ ontrialbegin = [
    if (list.pics.nextvalue == picture.doors){
        values.key_1 = "1";
        values.key_2 = "2";
    } else {
        values.key_1 = "8";
        values.key_2 = "9";
    }
]

/ stimulusframes = [1=list.pics; 2=scancode]
/ validresponse = (values.key_1, values.key_2)

</trial>

<surveypage recognition>
/ questions = [1=slider.rating]
/ showpagenumbers = false
/ showquestionnumbers = false
/ stimulusframes = [1=noreplace(picture.doors,picture.faces); 2=text.studied; 3=text.notstudied]
</surveypage>

<block full>
/ trials = [1=instructions; 2-237=noreplace(trial.encoding); 238=retrieval_instructions; 239-711=noreplace(recognition)]

Sorry, those few snippets say absolutely nothing about how many pictures there are, whether there are enough items, etc.

Nor does it make clear what you are actually referring to as "first" trial and what you are referring to as "second" trial in your original post.

Provide something that can actually run please and is sufficiently complete to make sense of. Please also make clear what exactly you are referring to.

For what it's worth, however, this here

/ stimulusframes = [1=noreplace(picture.doors,picture.faces); 2=text.studied; 3=text.notstudied]

will not work; it does not, for example, guarantee that across however many instances of the surveypage you run, half of them will display the "doors" stimulus, and the other half the "faces" stimulus. Selection modes in /stimulustimes and -frames simply don't work that way, and should generally be avoided.

Here is the full code excluding two item sections, <item faces> (247 images) and <item doors> (226 images):
Thanks for your help. 

<text scancode>
/ items = ("for doors: press 1 (single) or 2 (double)
for faces: press 8 (parent of a 13-17 year old) or 9 (NOT a parent of a 13-17 year old)")
/ position = (40%, 75%)
</text>
<picture faces>
/items = item.faces
/position = (50%,30%)
/size = (50%,50%)
/select = noreplace
</picture>

<picture doors>
/items = item.doors
/position = (50%,30%)
/size = (50%,50%)
/select = noreplace
</picture>

<list pics>
/items = (picture.doors,picture.faces)
/ selectionmode = random
/ replace = false
/ poolsize = 236
/ itemprobabilities = [
    .5;.5
]
</list>

<values>
/key_1 = ""
/key_2 = ""
</values>
<trial encoding>
/ ontrialbegin = [
    if (list.pics.nextvalue == picture.doors){
        values.key_1 = "1";
        values.key_2 = "2";
    } else {
        values.key_1 = "8";
        values.key_2 = "9";
    }
]

/ stimulusframes = [1=list.pics; 2=scancode]
/ validresponse = (values.key_1, values.key_2)

</trial>

<surveypage recognition>
/ questions = [1=slider.rating]
/ showpagenumbers = false
/ showquestionnumbers = false
/ stimulusframes = [1=noreplace(picture.doors,picture.faces); 2=text.studied; 3=text.notstudied]
</surveypage>

<block full>
/ trials = [1=instructions; 2-237=noreplace(trial.encoding); 238=retrieval_instructions; 239-711=noreplace(surveypage.recognition)]

</block>
<text studied>
/ items = ("STUDIED")
/ position = (30%,86%)
/ size = (10%, 10%)
</text>
<text notstudied>
/ items = ("DID NOT STUDY")
/ position = (74%,86%)
/ size = (10%, 10%)
</text>
<slider rating>
/labels = ("definitely old", "maybe old", "maybe new", "definitely new")
/ subcaptionfontstyle = (2.5%)
/ range = (0,3)
/ slidersize = (50%,30%)
/ showticks = true
/ required = false
/ position = (25%, 75%)
/ defaultresponse = 0
</slider>
<text instructions>
/items = ("In this task, you will be shown a series of pictures.

If you see a door, Press 1 if it is a single door or 2 if it is a double door.

If you see a face, Press 8 if it DOES look like the parent of a 13-17 year old, or 9 if it does NOT look like the parent of a 13-17 year old.

Press the Continue button to begin.")
/ position = (50%, 50%)
</text>
<trial instructions>
/ stimulusframes = [1=instructions, button.continue]
/ validresponse = (continue)
/ inputdevice = mouse
</trial>
<button continue>
/caption = "Continue"
/size = (10%,5%)
/position = (50%,75%)
</button>

<text retrieval_instructions>
/items = ("Now you will be shown a second series of pictures, although this time, your job is to figure out whether you saw the image in the last series or not.

You will have four response options: 'definitely old' means you are sure you saw the picture earlier,

'maybe old' means you think you saw the picture earlier,

'maybe new' means you don't think you saw the picture earlier,

and 'definitely new' means you are sure that you did not see the picture earlier.

Press Continue to begin.")
/ position = (50%, 50%)
</text>

<trial retrieval_instructions>
/ stimulusframes = [1=retrieval_instructions; 2=button.continue]
/ inputdevice = mouse
/ validresponse = (continue)
</trial>

In short, what you'll want to do is have two recognition surveypages, one displaying only the "doors" stimulus, another one displaying only the "faces" stimulus.

Then sample from these in the desired ratio (247:226); 247 and 226 have no common denominator greater than 1, so you'll have spell that noreplace() pool out in full.

<block full>
/ trials = [1=instructions; 2-237=noreplace(trial.encoding); 238=retrieval_instructions;
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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,
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</block>

Hi Dave, sorry for the trouble. We tried this, but we are still getting some images twice and others zero times for the recognition part. We just want to show each of the 473 images once in a random order. This is what we have right now. Any suggestions?
...
<surveypage recognition_faces>
/ questions = [1=slider.rating]
/ showpagenumbers = false
/ showquestionnumbers = false
/ stimulusframes=[1=picture.faces; 2=text.studied; 3=text.notstudied]
</surveypage>

<surveypage recognition_doors>
/ questions = [1=slider.rating]
/ showpagenumbers = false
/ showquestionnumbers = false
/ stimulusframes=[1=picture.doors; 2=text.studied; 3=text.notstudied]
</surveypage>

<block full>
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</block>

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