Factor Structure of Student Science-Learning Motivation: Evidence from TIMSS U.S. Data

Author:

Zhang Fa12ORCID,Bae Christine L.2,Broda Michael D.2ORCID,Koenka Alison C.3

Affiliation:

1. Department of Education, Open University of China, Beijing 100039, China

2. Department of Foundations of Education, Virginia Commonwealth University, Richmond, VA 23284, USA

3. Jeannine Rainbolt College of Education, The University of Oklahoma, Norman, OK 73019, USA

Abstract

We investigated the structure of science motivation among a nationally representative sample of grade 8 students in the United States from the TIMSS dataset. Drawing on an integrative conceptual model of motivation, the following constructs from situative expectancy-value theory (SEVT) and self-determination theory (SDT) were examined through confirmatory factor analyses, including self-concept, task value (intrinsic and utility value), and sense of relatedness, to test the underlying factor structure of motivation. Internal validity evidence was established, which showed that a four-factor model fits the data significantly better than a three-factor model and one-factor model. This study contributes to the current literature by providing evidence of the four dimensions of motivation in a manner that is theoretically aligned with SEVT and SDT, and validated using the TIMSS dataset. The student’s sense of relatedness as a key interpersonal facet of learning motivation is highlighted in this study.

Funder

Family–School Collaboration Professional Committee of China Educational Development Strategy Society

Open University of China

Publisher

MDPI AG

Subject

Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction

Reference70 articles.

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