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Emotion Regulation as a Scientific Construct: Methodological Challenges and Directions for Child Development Research
Abstract
Emotion regulation has emerged as a popular topic, but there is doubt about its viability as a scientific construct. This article identifies conceptual and methodological challenges in this area of study and describes exemplar studies that provide a substantive basis for inferring emotion regulation. On the basis of those studies, 4 methods are described that provide compelling evidence for emotion regulation: independent measurement of activated emotion and purported regulatory processes; analysis of temporal relations; measurement across contrasting conditions; and multiple, convergent measures. By offering this perspective, this article aims to engage thoughtful debate and critical analysis, with the goal of increasing methodological rigor and advancing an understanding of emotion regulation as a scientific construct.
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Self-citationCole, D. A., Zelkowitz, R. L., Nick, E., Martin, N. C., Roeder, K. M., Sinclair-McBride, K., & Spinelli, T. (2016) · Journal of Abnormal Child Psychology · doi:10.1007/s10802-015-0123-7 · Cited by 118
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Metadata
- Authors
- Cole, P. M., Martin, S. E., & Dennis, T. A.
- Venue
- Child Development
- Publisher
- Oxford University Press (OUP)
- Published
- 2004-03-01
- Volume
- 75
- Issue
- 2
- Pages
- 317-333
- ISSN
- 0009-3920 (ISSN-L)
- 1467-8624
- OpenAlex
- W2018445256
- Cited by
- 2,000
- References
- 12
- FWCI
- 57.95
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.