Examining motivation and self‐regulated online learning strategy model: A measurement invariance analysis among college students in China during COVID‐19

Author:

Tang Shifang1ORCID,Wang Zhuoying2ORCID,Lu Xiuhong3,Zhang Lei3,Haggerty Maya1

Affiliation:

1. Department of Psychology and Special Education College of Education and Human Services, Texas A&M University‐Commerce Commerce Texas USA

2. Texas Advanced Computing Center University of Texas at Austin Austin Texas USA

3. School of Foreign Languages Hubei University of Technology Wuhan China

Abstract

AbstractThe present study aimed to evaluate the psychometric properties and measurement invariance of the motivated and self‐regulation strategies for online learning (MSSOL) instrument. Data were collected from a sample of 1100 college students from a Chinese university. Factor analysis revealed favorable psychometric properties of the MSSOL. Furthermore, strong evidence was found to support the configural, metric, scalar, and strict invariance across gender groups, indicating the appropriate utilization of the MSSOL in accurately assessing online English learning motivation and self‐regulated learning (SRL) strategies among Chinese college students of both genders. This study represents a significant advancement in the measurement of motivation and SRL in the context of online English as a Foreign Language (EFL) instruction, particularly in light of the ongoing COVID‐19 pandemic. Implications for future research are discussed.

Publisher

Wiley

Reference58 articles.

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5. An introduction to measurement invariance testing: Resource packet for participants;Bialosiewicz S.;American Evaluation Association,2013

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