Examining the Psychometric Structure of an Instrument to Measure Students’ Interests and Motivation in Science Learning: Factor Analysis and Measurement Invariance

In this study, we examined the psychometric properties (reliability, validity, and underlying factor structure) and measurement invariance of a researcher-developed instrument: Motivated Strategies for Science Learning (MSSL). Data were collected from 2765 fifth-grade students across [state withheld] school districts. Results from exploratory and confirmatory factor analyses suggested satisfactory psychometric properties of MSSL. We further identified strong evidence to support configural, metric, scalar, and strict invariance across school location groups (i.e., rural and non-rural), confirming that the instrument can accurately capture the construct of science learning motivation among fifth-grade students from both rural and non-rural Texas schools. The study provides the first step toward measuring Texas rural and non-rural school students’ motivation and strategies for science learning. Recommendations for future research are discussed.

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Publication Details

Journal
Education Sciences
Published
2026-04-30
DOI
https://doi.org/10.3390/educsci16050709
Primary Topic
Education, Achievement, and Giftedness
Type
article
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article

Examining the Psychometric Structure of an Instrument to Measure Students’ Interests and Motivation in Science Learning: Factor Analysis and Measurement Invariance

Rafael Lara‐Alecio, Fuhui Tong, Kara L. Sutton‐Jones, Beverly J. Irby et al.
Education Sciences
Education, Achievement, and Giftedness
article

Examining the Psychometric Structure of an Instrument to Measure Students’ Interests and Motivation in Science Learning: Factor Analysis and Measurement Invariance

Rafael Lara‐Alecio, Fuhui Tong, Kara L. Sutton‐Jones, Beverly J. Irby, Zhuoying Wang, Cindy Guerrero, Raquel Granados Aguilar, Shifang Tang
article en

Abstract

In this study, we examined the psychometric properties (reliability, validity, and underlying factor structure) and measurement invariance of a researcher-developed instrument: Motivated Strategies for Science Learning (MSSL). Data were collected from 2765 fifth-grade students across [state withheld] school districts. Results from exploratory and confirmatory factor analyses suggested satisfactory psychometric properties of MSSL. We further identified strong evidence to support configural, metric, scalar, and strict invariance across school location groups (i.e., rural and non-rural), confirming that the instrument can accurately capture the construct of science learning motivation among fifth-grade students from both rural and non-rural Texas schools. The study provides the first step toward measuring Texas rural and non-rural school students’ motivation and strategies for science learning. Recommendations for future research are discussed.

Education SciencesVol. 16(5)
East Texas A&M University (US), Texas College (US), The University of Texas at Austin (US), Texas A&M University (US)
Quality Education
Openalex Percentile: Top 6%
Education, Achievement, and Giftedness
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