Abstract
This paper describes the development and initial validation of the Cognition and Emotion/Motivation Regulation (CEMOR) questionnaire, a task-specific questionnaire for upper elementary school students that measures self-regulated learning (SRL). Using a multistep procedure, 22 items were developed, divided over five theory-informed dimensions (Planning, Monitoring, Cognition Control, Emotion/Motivation Control, and Reflecting). The CEMOR was applied in a math context. Children from grades 3–6 (N = 547, 54.7 % females) completed the CEMOR. Confirmatory factor analyses indicated that the five proposed scales have adequate to good model fit, with factor loadings ranging from.54 to.83, and acceptable to good composite reliability (ρ range =.75–.85). To find further validity support, the SRL scales were correlated with students’ performance on a math task, experienced emotions, and level of motivation during the task. Most correlations were statistically significant and in the expected direction. Hence, the CEMOR questionnaire shows promise as a new SRL instrument for elementary education.
| Original language | English |
|---|---|
| Article number | 101339 |
| Journal | Studies in Educational Evaluation |
| Volume | 81 |
| DOIs | |
| Publication status | Published - 1 Jun 2024 |
| Externally published | Yes |
Funding
We thank the schools, teachers, and students that participated in this project. We thank Merel Tuinenburg, Francien Bontekoe, Manon van Veen and Nora Winter for their help with data collection. We thank Maaike Zeguers for her help in the early stages of questionnaire development. We thank Suzanne Jak for troubleshooting and thinking along on the statistical analyses. We have no conflicts of interest to disclose. This research was supported by the Research Priority Area YIELD, University of Amsterdam. We have no conflicts of interest to disclose. This research was supported by the Research Priority Area YIELD, University of Amsterdam.
| Funders |
|---|
| Merel Tuinenburg |
| Universiteit van Amsterdam |
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