Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2024 Dec 30;57(1):36.
doi: 10.3758/s13428-024-02579-x.

Measuring visual ability in linguistically diverse populations

Affiliations

Measuring visual ability in linguistically diverse populations

Madison A Hooper et al. Behav Res Methods. .

Abstract

Measurement of object recognition (OR) ability could predict learning and success in real-world settings, and there is hope that it may reduce bias often observed in cognitive tests. Although the measurement of visual OR is not expected to be influenced by the language of participants or the language of instructions, these assumptions remain largely untested. Here, we address the challenges of measuring OR abilities across linguistically diverse populations. In Study 1, we find that English-Spanish bilinguals, when randomly assigned to the English or Spanish version of the novel object memory test (NOMT), exhibit a highly similar overall performance. Study 2 extends this by assessing psychometric equivalence using an approach grounded in item response theory (IRT). We examined whether groups fluent in English or Spanish differed in (a) latent OR ability as assessed by a three-parameter logistic IRT model, and (2) the mapping of observed item responses on the latent OR construct, as assessed by differential item functioning (DIF) analyses. Spanish speakers performed better than English speakers, a difference we suggest is due to motivational differences between groups of vastly different size on the Prolific platform. That we found no substantial DIF between the groups tested in English or Spanish on the NOMT indicates measurement invariance. The feasibility of increasing diversity by combining groups tested in different languages remains unexplored. Adopting this approach could enable visual scientists to enhance diversity, equity, and inclusion in their research, and potentially in the broader application of their work in society.

Keywords: English; High-level vision; Individual differences; Measurement; Object recognition; Spanish.

PubMed Disclaimer

Conflict of interest statement

Declarations. Open practices statement: This study was not preregistered. The materials and datasets generated during and analyzed during the current study are available in the figshare repository: https://doi.org/10.6084/m9.figshare.24395098.v2 . Ethics approval: Vanderbilt IRB protocol 050082, “Comparing Different Types of Perceptual Expertise.” Consent to participate: All participants provided written informed consent. Consent for publication: N/A. Conflicts of interest/Competing interests: The authors have no conflict of interest to declare.

Figures

Fig. 1
Fig. 1
Objects for the three NOMTs used in Experiment 1 structure of trials for the learning and test phases, with Spanish instructions
Fig. 2
Fig. 2
Item score functions of item 6 (left) and item 91 (right) by group. Note. DIF significant after B–H adjustment is bolded
Fig. 3
Fig. 3
Expected NOMT scores as a function of latent trait levels of English- and Spanish-speaking participants with 95% confidence intervals
Fig. 4
Fig. 4
Test information as a function of latent trait levels of English- and Spanish-speaking participants

Similar articles

Cited by

References

    1. Akaike, H. (1973). Information theory and an extension of the maximum likelihood principle. Proc. 2nd International Symposium on Information Theory, 1973, 267–281.
    1. Akour, M., & Al-Omari, H. (2013). Empirical Investigation of the Stability of IRT Item-Parameters Estimation. International Online Journal of Educational Sciences, 5(2). https://www.acarindex.com/dosyalar/makale/acarindex-1423904223.pdf. Accessed 8 Nov 2024.
    1. Anderson, D., Kahn, J. D., & Tindal, G. (2017). Exploring the robustness of a unidimensional item response theory model with empirically multidimensional data. Applied Measurement in Education,30(3), 163–177. 10.1080/08957347.2017.1316277
    1. Anderson, G., Linton, O., & Whang, Y.-J. (2012). Nonparametric estimation and inference about the overlap of two distributions. Journal of Econometrics,171(1), 1–23.
    1. Baker, F. B. (2001). The basics of item response theory. ERIC. https://eric.ed.gov/?id=ED458219 - PMC - PubMed

Publication types

LinkOut - more resources