Hello,
Happy Thanksgiving.
This is the first time that we modified the Picture IAT from Inquisit 4 to gather data. Although we (three of us) had practiced with the program many times before the actual data collection, one of our team members somehow ended up using the following script (I have bolded attributeA and TargetA):
<item attributeAlabel>
/1 = "positive"
</item>
<item attributeA>
/1 = "Hardworking"
/2 = "Cooperative"
/3 = "Intelligent"
/4 = "Talented"
/5 = "Friendly"
/6 = "Responsible"
/7 = "Social"
/8 = "Attentive"
</item>
<item attributeBlabel>
/1 = "negative"
</item>
<item attributeB>
/1 = "Lazy"
/2 = "Aggressive"
/3 = "Inattentive"
/4 = "Defiant"
/5 = "Disrespectful"
/6 = "Disruptive"
/7 = "Antisocial"
/8 = "Unprepared"
</item>
<item targetAlabel>
/1 = "Black"
</item>
<item targetA>
/1 = "Black_Girl_1.jpg"
/2 = "Black_Girl_2.jpg"
/3 = "Black_Girl_3.jpg"
/4 = "Black_Girl_4.jpg"
/5 = "Black_Boy_1.jpg"
/6 = "Black_Boy_2.jpg"
/7 = "Black_Boy_3.jpg"
/8 = "Black_Boy_4.jpg"
</item>
<item targetBlabel>
/1 = "White"
</item>
<item targetB>
/1 = "White_Girl_1.jpg"
/2 = "White_Girl_2.jpg"
/3 = "White_Girl_3.jpg"
/4 = "White_Girl_4.jpg"
/5 = "White_Boy_1.jpg"
/6 = "White_Boy_2.jpg"
/7 = "White_Boy_3.jpg"
/8 = "White_Boy_4.jpg"
</item>
My question: given that labelA and targetA are inconsistent with the stereotypical association, is there a way that we can corrected the collected data? Thank you.