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Cited by 438

The DOI matches its Crossref record; 97 of the 97 references it cites were found in a registry or an index.

Measuring Cognitive Engagement With Self-Report Scales: Reflections From Over 20 Years of Research

Greene, Barbara A.·2015·Educational Psychologist

Abstract

Research spanning 20 years is reviewed as it relates to the measurement of cognitive engagement using self-report scales. The author's research program is at the forefront of the review, although the review is couched within the broader context of the research on motivation and cognitive engagement that began in the early 1990s. The theoretical origins of self-report instruments are examined, along with the early measurement findings and struggles. Research in science, technology, engineering, and mathematics contexts are highlighted. The author concludes that self-report data have made significant and important contributions to the understanding of motivation and cognitive engagement. However, the evidence also suggests a need to develop and use multiple approaches to measuring engagement in academic work rather than rely only on self-report instruments. Some alternatives to self-report measures are suggested here and throughout this issue.

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Metadata

Authors
Greene, B. A.
Venue
Educational Psychologist
Published
2015-01-02
Volume
50
Issue
1
Pages
14-30
ISSN
  • 0046-1520 (ISSN-L)
  • 1532-6985
OpenAlex
W2071708523
Cited by
438
References
97
FWCI
28.74
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Measuring Cognitive Engagement With Self-Report Scales: Reflections From Over 20 Years of Research. https://app.cochat.ai/papers/10.1080/00461520.2014.989230
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Greene, B. A. (2015). Measuring Cognitive Engagement With Self-Report Scales: Reflections From Over 20 Years of Research. Educational Psychologist. https://doi.org/10.1080/00461520.2014.989230

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.