Randomization and Multiple Likert Scales


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unicornx
unicornx
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Hello,
I want to design an IAT experiment in Inquisit whereby participants rate their emotion levels on pairs of images that are randomized. However, I have trouble randomizing the images while keeping the groups intact and including multiple Likert/scales on a screen. Also, how can I time the stimuli so that they are displayed for only 4 seconds? Below is the script that I currently have (without the instructions page): 

<expt>
/ preinstructions = (intro)
/ blocks = [1=likertdisgust;2=likertVCU]
/ groupassignment = random
/ postinstructions = (end)
</expt>

<data>
/columns =[date time subject blocknum trialnum trialcode response latency stimulus]
/format=tab
</data>

<defaults>
/screencolor = (175, 255, 175)
/font = ("Arial", -24, 700, 0, 49)
/txbgcolor=(255,255,255)
</defaults>

<picture disgustqs>
/size = (1000, 500)
/items = disgustqs
/position = (50, 50)
/halign = center
/select = sequence
</picture>

<picture VCUqs>
/size = (1000, 500)
/items = VCUqs
/position = (50, 50)
/halign = center
/select = sequence
</picture>

<item disgustqs>
/1 = "A001.png"
/2 = "A001 VCU.png"
/3 = "A010.png"
/4 = "A010 VCU.png"
/5 = "Sn078.png"
/6 = "Sn078 VCU.png"
</item>

<item VCUqs>
/1 = "Sp009.png"
/2 = "Sp009 VCU.png"
/3 = "Sp026.png"
/4 = "Sp026 VCU.png"
/5 = "Dead Human H022 UVA.png"
/6 = "Dead Human H022 VCU.png"
</item>

<likert Disgust>
/ anchors = [1="not disgusting at all"; 4="very disgusting"]
/ stimulusframes = [1 = disgustqs]
/ mouse=false
/ numpoints=4
/ position= (50, 90)
</likert>

<block likertdisgust>
/ preinstructions=(rate_disgust)
/ trials = [1-6 = disgust]
</block>

<likert VCU>
/ anchors = [1="not disgusting at all"; 4="very disgusting"]
/ stimulusframes = [2 = VCUqs]
/ mouse=false
/ numpoints=4
/ position= (50, 90)
</likert>

<block likertVCU>
/ trials = [1-6 = VCU]
</block>

As you can see, I have the pairs of images displayed sequentially, but I prefer to have them display simultaneously. Please let me know what I can do to solve these problems. Thanks!


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