___________________________________________________________________________________________________________________ Power Implicit Association Test (IAT) - with pictures ___________________________________________________________________________________________________________________ Main Inquisit programming: Sean Draine (seandr@millisecond.com) last updated: 02-23-2022 by K. Borchert (katjab@millisecond.com) for Millisecond Software, LLC Script Copyright © 02-23-2022 Millisecond Software This script uses the general Inquisit IAT template with stimuli shared by Dr. Slabbinck Millisecond Software thanks Dr. Slabbinck for sharing his materials! ___________________________________________________________________________________________________________________ BACKGROUND INFO ___________________________________________________________________________________________________________________ The Implicit Association Task (Greenwald, McGhee, & Schwartz, 1998) is a widely-used cognitive-behavioral paradigm that measures the strength of automatic (implicit) associations between concepts in people’s minds relying on latency measures in a simple sorting task. The strength of an association between concepts is measured by the standardized mean difference score of the 'hypothesis-inconsistent' pairings and 'hypothesis-consistent' pairings (d-score) (Greenwald, Nosek, & Banaji, 2003). In general, the higher the d-score the stronger is the association between the 'hypothesis-consistent' pairings (decided by researchers). Negative d-scores suggest a stronger association between the 'hypothesis-inconsistent' pairings. D-scores obtained with this script: Positive d-scores: support a stronger association between 'Power-Attractive' and 'Non Power-Attractive' than for the opposite pairings Negative d-scores: support a stronger association between 'Non-Power-Attractive' and 'Power-Not Attractive' than for the opposite pairings General IAT References: Greenwald, A. G., McGhee, D. E., & Schwartz, J. K. L. (1998). Measuring individual differences in implicit cognition: The Implicit Association Test. Journal of Personality and Social Psychology, 74, 1464-1480. Greenwald, A. G., Nosek, B. A., & Banaji, M. R. (2003). Understanding and Using the Implicit Association Test: I. An Improved Scoring Algorithm. Journal of Personality and Social Psychology, 85, 197-216. Slabbinck, H., De Houwer, J., & Van Kenhove, P. (2011). A pictorial attitude IAT as a measure of implicit motives. European Journal of Personality, 25(1), 76-86. ___________________________________________________________________________________________________________________ TASK DESCRIPTION ___________________________________________________________________________________________________________________ Participants are presented either adjectives or pictures (one by one) and are asked to do a simple categorization task to categorize the items into categories like "attractive OR Power" vs. "not attractive OR Non-Power" by pressing 2 different keys on the keyboard. ___________________________________________________________________________________________________________________ DURATION ___________________________________________________________________________________________________________________ the default set-up of the script takes appr. 5.5 minutes to complete __________________________________________________________________________________________________________________ DATA FILE INFORMATION ___________________________________________________________________________________________________________________ The default data stored in the data files are: (1) Raw data file: 'poweriat_raw*.iqdat' (a separate file for each participant) build: The specific Inquisit version used (the 'build') that was run computer.platform: the platform the script was run on (win/mac/ios/android) date, time: date and time script was run subject, group, with the current subject/groupnumber Note: odd/even groupnumbers balance the order in which hypothesis-compatible/incompatible blocks are run odd = compatible - incompatible even = incompatible - compatible session: with the current session id blockcode, blocknum: the name and number of the current block (built-in Inquisit variable) trialcode, trialnum: the name and number of the currently recorded trial (built-in Inquisit variable) Note: trialnum is a built-in Inquisit variable; it counts all trials run; even those that do not store data to the data file such as feedback trials conditionOrder: c-ic: consistent -> inconsistent ic-c: inconsistent -> consistent response: the response key pressed (e.g. 18=E or 23=I) Note: script saves the final and -by design- correct response for each trial correct: the accuracy of the initial response 0 = initial response was incorrect and needed to be corrected 1 = initial response is correct latency: the latency of the final (correct) response in ms; measured from onset of stim stimulusnumber: the number of the current stimulus stimulusitem: the currently presented item Only meaningful for the last row of data in the raw data file (upon completion of IAT): da: d-score of the first short blocks db: d-score of the second long blocks d: overall d-score (non-weighted mean of the 2 d-scores); main DV Suggested Interpretation: D-score <= -0.65 => "a strong" preference for hypothesis-NONconforming pairings D-score < -0.35 => "a moderate" preference for hypothesis-NONconforming pairings D-score < -0.15 => "a slight" preference for hypothesis-NONforming pairings -0.15 <= D-score <= 0.15 "little to no" preference D-score > 0.15 => "a slight" preference for hypothesis-conforming pairings D-score > 0.35 => "a moderate" preference for hypothesis-conforming pairings D-score >= 0.65 => "a strong" preference for hypothesis-conforming pairings percentcorrect: the overall percent correct score of initial responses in test trials of D-score qualifying latencies propRT300: the proportion of response latencies < 300ms excludeCriteriaMet: 1 = yes, exclusion supported per Greenwald et al (2003, p.214, Table 4): More than 10% of all response latencies are faster than 300ms 0 = otherwise (2) Summary data file: 'poweriat_summary*.iqdat' (a separate file for each participant) inquisit.version: Inquisit version run computer.platform: the platform the script was run on (win/mac/ios/android) startDate: date script was run startTime: time script was started subjectid: assigned subject id number groupid: assigned group id number sessionid: assigned session id number elapsedTime: time it took to run script (in ms); measured from onset to offset of script completed: 0 = script was not completed (prematurely aborted); 1 = script was completed (all conditions run) conditionOrder: c-ic: consistent -> inconsistent ic-c: inconsistent -> consistent da: d-score of the first short blocks db: d-score of the second long blocks d: overall d-score (non-weighted mean of the 2 d-scores); main DV Suggested Interpretation: D-score <= -0.65 => "a strong" preference for hypothesis-NONconforming pairings D-score < -0.35 => "a moderate" preference for hypothesis-NONconforming pairings D-score < -0.15 => "a slight" preference for hypothesis-NONforming pairings -0.15 <= D-score <= 0.15 "little to no" preference D-score > 0.15 => "a slight" preference for hypothesis-conforming pairings D-score > 0.35 => "a moderate" preference for hypothesis-conforming pairings D-score >= 0.65 => "a strong" preference for hypothesis-conforming pairings percentcorrect: the overall percent correct score of initial responses in test trials of D-score qualifying latencies propRT300: the proportion of response latencies < 300ms excludeCriteriaMet: 1 = yes, exclusion supported per Greenwald et al (2003, p.214, Table 4): More than 10% of all response latencies are faster than 300ms 0 = otherwise ___________________________________________________________________________________________________________________ EXPERIMENTAL SET-UP ___________________________________________________________________________________________________________________ Hypothesis-consistent pairings vs. hypothesis-inconsistent pairings; tested within-subjects in a blocked format => order is counterbalanced by groupnumber assignment odd groupnumbers run: consistent - inconconsistent pairings even groupnumbers run: inconsistent - consistent pairings Block Sequence: 1. Target Category sorting training 2. Attribute sorting training 3. 1. Test Block of hypothesis-consistent* pairings with 20 trials (half the participant start with inconsistent pairings) 4. 2. Test Block of hypothesis-consistent pairings with 40 trials 5. Target Category sorting training with targets switching sides 6. 1. Test Block of hypothesis-inconsistent pairings with 20 trials 7. 2. Test Block of hypothesis-inconsistent pairings with 40 trials In all Test Blocks: * attributes and targets alternate * attributes as well as targets are randomly selected without replacement Trial Sequence: Target -> until correct response -> ISI: 250ms (default)-> Target.... ___________________________________________________________________________________________________________________ STIMULI ___________________________________________________________________________________________________________________ Stimuli can be edited under section Editable Stimuli ___________________________________________________________________________________________________________________ INSTRUCTIONS ___________________________________________________________________________________________________________________ * start instruction page is provided as an html page. It automatically adapts to different images and category labels UNLESS the number of attributes and/or targets have been changed. In this case, changes have to be made to file "intro_iat.htm", so that the correct number of items are presented in the overview table. Example: instead of 8 words for target A, only 5 should be presented: in file "intro_iat.htm": change: <td><%item.targetA.item(1)%>, <%item.targetA.item(2)%>, <%item.targetA.item(3)%>, <%item.targetA.item(4)%>, <%item.targetA.item(5)%>, <%item.targetA.item(6)%>, <%item.targetA.item(7)%>, <%item.targetA.item(8)%> </td> To: <td><%item.targetA.item(1)%>, <%item.targetA.item(2)%>, <%item.targetA.item(3)%>, <%item.targetA.item(4)%>, <%item.targetA.item(5)%> </td> * item.instructions under section 'Editable Instructions' contains the the trial instructions The instructions adapt automatically if different attributes and targets are used. ___________________________________________________________________________________________________________________ EDITABLE CODE ___________________________________________________________________________________________________________________ check below for (relatively) easily editable parameters, stimuli, instructions etc. Keep in mind that you can use this script as a template and therefore always "mess" with the entire code to further customize your experiment. The parameters you can change are: /showsummaryfeedback: set parameter showsummaryfeedback = true to display summary feedback to participants at the end (default) set parameter showsummaryfeedback = false if no summary feedback should be presented to participants /ISI: interstimulus interval (in ms) (default: 250ms)