Data · dataset · 2026
Measuring implicit attitudes : a positive framing bias flaw in the Implicit Relational Assessment Procedure (IRAP)
Listed in ZivaHub and Deakin Research Online and DMU Figshare — shown once because both records carry DOI 10.1037/pas0000172
How can implicit attitudes best be measured?
Description
The Implicit Relational Assessment Procedure (IRAP), unlike the Implicit Association Test (IAT), claims to measure absolute, not just relative, implicit attitudes. In the IRAP, participants make congruent (Fat Person-Active: False; Fat Person-Unhealthy: True) or incongruent (Fat Person-Active: True; Fat Person-Unhealthy: False) responses in different blocks of trials.
IRAP experiments have reported positive or neutral implicit attitudes (e.g., neutral attitudes towards fat people) in cases where negative attitudes are normally found on explicit or other implicit measures. It was hypothesized that these results might reflect a Positive Framing Bias (PFB) that occurs when participants complete the IRAP. Implicit attitudes towards categories with varying prior associations (nonwords, social systems, flowers and insects, thin and fat people) were measured.
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Three conditions (standard, positive framing, and negative framing) were used to measure whether framing influenced estimates of implicit attitudes. It was found that IRAP scores were influenced by how the task was framed to the participants, that the framing effect was modulated by the strength of prior stimulus associations and that a default PFB led to an overestimation of positive implicit attitudes when measured by the IRAP.
Overall, the findings question the validity of the IRAP as a tool for the measurement of absolute implicit attitudes. A new tool (Simple Implicit Procedure: SIP) for measuring absolute, not just relative, implicit attitudes is proposed.
Links
Where it is published
- DOI doi.org/10.1037/pas0000172 ↗
DOI / persistent id · from zivahub uct ac za
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from zivahub uct ac za
Topics
Provenance · 3 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ZivaHub | oai:figshare.com:article/34047000 | 12 d ago | JSON v1 |
| Deakin Research Online | oai:figshare.com:article/34047000 | 12 d ago | JSON v1 |
| DMU Figshare | oai:figshare.com:article/34047000 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · figshare dmu ac uk | connector:figshare_dmu_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · dro deakin edu au | connector:dro_deakin_edu_au@1.0.0 | |
| description | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/description |
| license | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/rights |
| publication_date | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| title | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/title |