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Related Experiment Video

Updated: May 31, 2026

Validation of a Psychosocial Intervention on Body Image in Older People: An Experimental Design

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Published on: May 31, 2021

Implementing multiple implicit association tests in Qualtrics: A guide and demonstration using balanced identity

Alyssa Ream¹, Anna Woodcock², Sarah Zlatkovic¹

¹Claremont Graduate University, 150 E 10th St, Claremont, CA, 91711, USA.

Behavior Research Methods

|May 29, 2026

Summary

This summary is machine-generated.

This study provides a guide for researchers to create multiple Implicit Association Tests (IATs) in a single Qualtrics survey. The method facilitates measuring complex implicit associations, like identity and attitudes, efficiently.

Keywords:

Data collection IAT Implicit associations Implicit identities Online research Qualtrics

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Last Updated: May 31, 2026

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Published on: May 31, 2021

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Area of Science:

Behavioral Sciences
Psychology
Social Psychology

Background:

Implicit Association Test (IAT) measures implicit attitudes and identities.
Qualtrics is a popular data collection tool for behavioral research.
Previous work by Carpenter et al. (2019) provided resources for creating single IATs on Qualtrics.

Purpose of the Study:

To provide guidance on constructing multiple IATs within a single Qualtrics survey.
To extend the work of Carpenter et al. (2019) for multi-IAT research designs.
To offer a tutorial with step-by-step instructions and templates for building and implementing multiple IATs.

Main Methods:

Development and implementation of multiple IATs within a single Qualtrics survey.
Utilizing the Balanced Identity Design (BID) framework for examples.
Providing written and visual instructions, templates, and code for data processing.

Main Results:

Demonstrated the feasibility of developing, implementing, and utilizing multiple IATs in one survey.
Successfully measured implicit racial/ethnic identity, STEM identity, and race/ethnicity-STEM associations in a single study.
Showcased the utility of the multiple IAT approach for complex research questions.

Conclusions:

The developed method enables efficient measurement of multiple implicit constructs in a single study.
This approach enhances research capabilities in behavioral sciences, particularly for identity and attitude research.
Researchers can now more easily integrate multiple IATs into their Qualtrics-based studies.