The DOI matches its Crossref record, with a small difference in title or year; 43 of the 43 references it cites were found in a registry or an index.
A Coordinated Analysis of Variance in Affect in Daily Life
Open accessAbstract
Despite widespread interest in variance in affect, basic questions remain pertaining to the relative proportions of between-person and within-person variance, the contribution of days and moments, and the reliability of these estimates. We addressed these questions by decomposing negative affect and positive affect variance across three levels (person, day, moment), and calculating reliability using a coordinated analysis of seven daily diary, ecological momentary assessment (EMA), and diary-EMA hybrid studies (across studies age = 18-84 years, total N persons = 2,103, total N observations = 45,065). Across studies, within-person variance was sizeable (negative affect: 45% to 66%, positive affect: 25% to 74%); in EMA more within-person variance was attributable to momentary rather than daily level. Reliability was adequate to high at all levels of analysis (within-person: .73-.91; between-person: .96-1.00) despite different items and designs. We discuss the implications of these results for the design of future intensive studies of affect variance.
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“We derived these affect items from previous personalized sensing studies [which used the circumplex model of emotion as basis; (69, 70)] and a review of affect measurement in previous EMA studies (71), to increase the comparability with existing literature.”
From Personalised depression forecasting using mobile sensor data and ecological momentary assessment (2022) · cites this paper as [71]
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“These coordinated analyses utilized data from ILD studies: two daily diary studies, three EMA studies, and two hybrid designs in which both EMA-style momentary and daily diary-style EOD reports were collected (see Smyth et al., 2018).”
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“The WFHS is a multisite workplace intervention conducted in both information technology and extended care (e.g., nursing home) workplace contexts (Bray et al., 2013).”
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Metadata
- Authors
- Scott, S. B., Sliwinski, M. J., Zawadzki, M., Stawski, R. S., Kim, J., Marcusson-Clavertz, D., Lanza, S. T., Conroy, D. E., Buxton, O., Almeida, D. M., & Smyth, J. M.
- Affiliations
- Stony Brook University (US)
- Pennsylvania State University (US)
- University of California, Merced (US)
- Oregon State University (US)
- Pennsylvania State University, University Park, PA, USA
- Corresponding author
- Scott, Stacey B.
- ORCID
- Venue
- Assessment
- Publisher
- SAGE Publications
- Published
- 2018-09-09
- Volume
- 27
- Issue
- 8
- Pages
- 1683-1698
- ISSN
- 1073-1911 (ISSN-L)
- 1552-3489
- PMC
- PMC6408986
- OpenAlex
- W2891573817
- Cited by
- 115
- References
- 42
- Citations by year
- 2026: 15 · 2025: 7 · 2024: 19 · 2023: 19 · 2022: 18 · 2021: 22 · 2020: 9 · 2019: 5 · 2018: 1
- FWCI
- 12.12
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Assessment (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- Gallup Organization
- Basic Behavioral and Social Sciences Research Opportunity Network
- Leonard and Sylvia Marx Foundation
- Czap Foundation
- National Heart, Lung, and Blood Institute (R01 HL067990, R01 HL109340, R01HL107240)
- National Institute of Child Health and Human Development (U01HD051217, U01HD051218, U01HD051256, U01HD051276, U01HD059773)
- National Institute for Occupational Safety and Health (U01OH008788)
- National Institutes of Health (NIH) Science of Behavior Change Common Fund Program (UH2-AG052167)
- National Center for Advancing Translational Sciences
- National Institute on Aging (CTSA 1UL1TR001073, P01 AG020166, P01 AG03949, R01 AG019239, R01 AG039409, R01 AG042595, U01AG027669)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Physical Sciences › Computer Science › Artificial Intelligence › Emotion and Mood Recognition
- Keywords
- within-person variance, negative affect, positive affect, everyday life, ecological momentary assessment, daily diary, reliability statistics, intensive longitudinal data
- MeSH terms
- Ecological Momentary Assessment, Adolescent, Adult, Affect, Aged, Aged, 80 and over, Analysis of Variance, Humans, Middle Aged, Reproducibility of Results, Young Adult
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