Evaluating test-taking motivation based on process data and its influence on academic performance
Bibliographic Data
| ID | 9406521 |
|---|---|
| Authors | Junwei Ding (0009-0004-7766-2974, Southwest University), Jimei Ding, Ting Li (0000-0002-9614-1566, Yibin University), Yuan Liu (0000-0003-2668-0350, Southwest University, corresponding author), jieyu sang (Southwest University) |
| Year | 2025 |
| Volume | 260 |
| Pages | 105525-105525 |
| Publication date | 2025-09-15 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Acta Psychologica (JOURNAL) |
| Journal identifiers | ISSN: 0001-6918 • E-ISSN: 1873-6297 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.actpsy.2025.105525 |
| PMID | 40957160 |
| OpenAlex | W4414190224 |
| Language | EN |
| References cited | 78 |
In large-scale, low-stakes assessments, understanding and evaluating students' test-taking motivation (TTM) is essential for educators to gain insight into individual psychological characteristics and the effort students invest in specific tests. Traditional motivational measures, such as self-reported effort and response time effort (RTE), can provide information about a student's usual characteristics related to TTM. However, these measures often overlook situational factors that can influence performance during the testing process. Therefore, it is important to propose a new approach to evaluate TTM that addresses the limitations of traditional measures. In this study, we introduce a new concept-behavioral effort-based on process data to assess TTM. We used data from the Programme for International Student Assessment (PISA) 2018, which comprised 2853 students, to compose such a concept. We validated the behavioral effort by comparing it to traditional measures of TTM, and it was used to predict academic performance through multilevel analysis. The results indicated that (1) behavioral effort effectively assessed TTM and showed a positive correlation with self-reported measures and RTE, and (2) behavioral effort was a strong predictor of academic performance, demonstrating a larger effect size than traditional measures. This study successfully extracted behavioral effort from process data, providing a valuable tool for evaluating TTM
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| Highly cited | No |
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