Script Author: Sean Draine (seandr@millisecond.com)
Last Modified: January 25, 2025 by K. Borchert (katjab@millisecond.com), Millisecond
Script Copyright © Millisecond Software, LLC
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.
Inquisit calculates d-scores using the improved scoring algorithm as described in Greenwald et al (2003). Error trials are handled by requiring respondents to correct their responses according to recommendation (p.214).
D-scores obtained with this script: Positive d-scores: support a stronger association between 'ME-Cutting' and 'NOT ME-Not Cutting' than for the opposite pairings Negative d-scores: support a stronger association between 'NOT ME-Cutting' and 'ME-Not Cutting' than for the opposite pairings
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.
Nock, M. K. & Banaji, M. R. (2007). Prediction of suicide ideation and attempts among adolescents using a brief performance-based test. Journal of Clinical and Consulting Psychology, 75, 707-715.
5.5 minutes
Participants are asked to categorize pictures of cut up arms and uninjured arms and target items (e.g "I" vs. "They") into predetermined categories via keystroke presses. The basic task is to press a left key (E) if an item (e.g. "a cut up arm) belongs to the category presented on the left (e.g. "Cutting") and to press the right key (I) if the item (e.g. an uninjured arm) belongs to the category ("Not Cutting") presented on the right. For practice, participants sort items into the target categories "ME vs. NOT ME" and the attribute categories "Cutting vs. Not Cutting". For the test, participants are asked to sort categories into the paired/combined categories (e.g. "ME OR Cutting" on the left vs. "NOT ME OR Not Cutting" on the right). Pairings are reversed for a second test (e.g. "NOT ME OR Cutting" on the left vs. "ME OR Not Cutting" on the right). Block order is counterbalanced by groupnumber.
Hypothesis-consistent pairings vs. hypothesis-inconsistent pairings; tested within-subjects
=> order is counterbalanced by groupnumber assignment
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 can be edited under section Editable Stimuli
• 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:
File Name: si_iat_summary*.iqdat
| Name | Description |
|---|---|
| inquisit.version | Inquisit version number |
| computer.platform | Device platform: win | mac |ios | android |
| computer.touch | 0 = device has no touchscreen capabilities; 1 = device has touchscreen capabilities |
| computer.hasKeyboard | 0 = no external keyboard detected; 1 = external keyboard detected |
| startDate | Date the session was run |
| startTime | Time the session was run |
| subjectId | Participant ID |
| groupId | Group number |
| sessionId | Session number |
| elapsedTime | Session duration in ms |
| completed | 0 = Test was not completed 1 = Test was completed |
| 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 |
File Name: si_iat_raw*.iqdat
| Name | Description |
|---|---|
| build | Inquisit version number |
| computer.platform | Device platform: win | mac |ios | android |
| computer.touch | 0 = device has no touchscreen capabilities; 1 = device has touchscreen capabilities |
| computer.hasKeyboard | 0 = no external keyboard detected; 1 = external keyboard detected |
| date | Date the session was run |
| time | Time the session was run |
| subject | Participant ID |
| group | Group number |
| session | Session number |
| blockcode | The name the current block (built-in Inquisit variable) |
| blocknum | The number of the current block (built-in Inquisit variable) |
| trialcode | The name of the currently recorded trial (built-in Inquisit variable) |
| trialnum | The number of the currently recorded trial (built-in Inquisit variable) trialnum is a built-in Inquisit variable; it counts all trials run even those that do not store data to the data file. |
| conditionOrder | C-ic: consistent -> inconsistent ic-c: inconsistent -> consistent |
| response | The response key pressed (e.g. 18=E or 23=I) script saves the final and -by design- correct response for each trial |
| responseText | The label of the response key (E vs I) |
| 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 |
| da | D-score of the first short blocks (Only meaningful for the last row of data in the raw data file - upon completion of IAT) |
| db | D-score of the second long blocks (Only meaningful for the last row of data in the raw data file - upon completion of IAT) |
| d | Overall d-score (non-weighted mean of the 2 d-scores); main DV (Only meaningful for the last row of data in the raw data file - upon completion of IAT) 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 (Only meaningful for the last row of data in the raw data file - upon completion of IAT) |
| propRT300 | The proportion of response latencies < 300ms (Only meaningful for the last row of data in the raw data file - upon completion of IAT) |
| excludeCriteriaMet | 1 = yes, exclusion supported per Greenwald et al (2003, p.214, Table 4): (Only meaningful for the last row of data in the raw data file - upon completion of IAT) More than 10% of all response latencies are faster than 300ms 0 = otherwise |
The procedure can be adjusted by setting the following parameters.
| Name | Description | Default |
|---|---|---|
| showSummaryFeedback | Set parameter showsummaryfeedback = true to display summary feedback to participants at the end set parameter showsummaryfeedback = false if no summary feedback should be presented to participants | true |
| isi | Interstimulus interval (in ms) | 250 |