The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
The measurement of affect, mood, and emotion: a guide for health-behavioral research
Abstract
Prologue 1. Documenting the breadth and depth of the problem 2. Untangling the terminological Gordian knot 3. Should affective states be considered as distinct entities or as positioned along dimensions? 4. Are pleasant and unpleasant states independent or polar opposites? 5. Selecting a measure: a proposed three-step process 6. The old classics: measures of distinct states 7. Dimensional measures 8. Domain-specific measurement: challenges and solutions 9. Problems of domain specificity: examples from exercise Epilogue.
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Cites
Negative Affect, Emotional Acceptance, and Smoking Cessation
Carmody, T. P., Vieten, C., & Astin, J. A. (2007) · Journal of Psychoactive Drugs · doi:10.1080/02791072.2007.10399889 · Cited by 85
Cited by
Hertzum (2017) · doi:10.1145/3127358 · Cited by 307
The exercise–affect–adherence pathway: an evolutionary perspective
Lee, H. H., Emerson, J. A., & Williams, D. M. (2016) · Frontiers in Psychology · doi:10.3389/fpsyg.2016.01285 · Cited by 160
Wearable Devices for Precision Medicine and Health State Monitoring
Jeong, I. C., Bychkov, D., & Searson, P. C. (2019) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2018.2871638 · Cited by 155
Katzman, M., & Sternat, T. (2016) · Neuropsychiatric Disease and Treatment · doi:10.2147/ndt.s111818 · Cited by 83
How does frustration make you feel? A motivational analysis in exercise context
Teixeira, D. S., Silva, M. N., & Palmeira, A. L. (2018) · Motivation and Emotion · doi:10.1007/s11031-018-9690-6 · Cited by 60
Metadata
- Venue
- Choice Reviews Online
- Publisher
- American Library Association
- Published
- 2013-11-18
- Volume
- 51
- Issue
- 04
- Pages
- 51-2369-51-2369
- ISSN
- 0009-4978 (ISSN-L)
- 1523-8253
- OpenAlex
- W614096023
- Cited by
- 264
- References
- 1
- Type
- book review
- Language
- en
- Open access
- closed
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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.