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Related Experiment Video

Updated: Jun 4, 2025

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques

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Published on: June 30, 2020

Measuring visual ability in linguistically diverse populations.

Madison A Hooper¹, Andrew Tomarken¹, Isabel Gauthier²

¹Department of Psychology, Vanderbilt University, Nashville, TN, USA.

Behavior Research Methods

|December 31, 2024

Summary

This summary is machine-generated.

Object recognition (OR) tests show similar performance across languages, indicating measurement invariance. Combining multilingual groups could enhance diversity in cognitive research.

Keywords:

English High-level vision Individual differences Measurement Object recognition Spanish

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Area of Science:

Cognitive psychology
Psychometrics
Neuroscience

Background:

Object recognition (OR) ability is crucial for learning and real-world success.
Cognitive tests may exhibit bias, and OR measurement is hoped to mitigate this.
The influence of participant and instruction language on visual OR measurement is largely untested.

Purpose of the Study:

To investigate the challenges of measuring OR abilities across linguistically diverse populations.
To assess psychometric equivalence of the novel object memory test (NOMT) across English and Spanish speakers.
To determine if language influences OR measurement and explore potential for increased diversity in research.

Main Methods:

Study 1: Compared performance of English-Spanish bilinguals on English vs. Spanish versions of the NOMT.
Study 2: Utilized item response theory (IRT) to assess psychometric equivalence.
Differential item functioning (DIF) analyses were conducted to examine measurement invariance.

Main Results:

Study 1 found highly similar overall performance between English and Spanish NOMT versions.
Spanish speakers showed higher performance than English speakers, potentially due to motivational factors.
No substantial DIF was found, indicating measurement invariance for the NOMT across languages.

Conclusions:

The NOMT demonstrates measurement invariance across English and Spanish, supporting its use in diverse populations.
Combining data from multilingual groups tested in different languages is a feasible strategy to enhance diversity in visual science research.
This approach can promote diversity, equity, and inclusion (DEI) in scientific research and its societal applications.