The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Modeling between‐subject and within‐subject variances in ecological momentary assessment data using mixed‐effects location scale models
Open accessAbstract
Ecological momentary assessment and/or experience sampling methods are increasingly used in health studies to study subjective experiences within changing environmental contexts. In these studies, up to 30 or 40 observations are often obtained for each subject. Because there are so many measurements per subject, one can characterize a subject's mean and variance and can specify models for both. In this article, we focus on an adolescent smoking study using ecological momentary assessment where interest is on characterizing changes in mood variation. We describe how covariates can influence the mood variances and also extend the statistical model by adding a subject‐level random effect to the within‐subject variance specification. This permits subjects to have influence on the mean, or location, and variability, or (square of the) scale, of their mood responses. These mixed‐effects location scale models have useful applications in many research areas where interest centers on the joint modeling of the mean and variance structure. Copyright © 2012 John Wiley & Sons, Ltd.
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Cites
The Self-Medication Hypothesis of Substance Use Disorders: A Reconsideration and Recent Applications
Khantzian, E. J. (1997) · Harvard Review of Psychiatry · doi:10.3109/10673229709030550 · Cited by 3,242 · cited 1×
“Many prominent models of cigarette smoking maintain that smoking is reinforcing and that smoking can relieve negative affect (NA) [28,29].”
BackgroundTrull, T. J., Solhan, M. B., Tragesser, S. L., Jahng, S., Wood, P. K., Piasecki, T. M., & Watson, D. (2008) · Journal of Abnormal Psychology · doi:10.1037/a0012532 · Cited by 503
Ecological momentary assessment research in behavioral medicine
Smyth, J. M., & Stone, A. A. (2003) · Journal of Happiness Studies · doi:10.1023/a:1023657221954 · Cited by 439
Axelson, D. A., Bertocci, M. A., Lewin, D. S., Trubnick, L. S., Birmaher, B., Williamson, D. E., Ryan, N. D., & Dahl, R. E. (2003) · Journal of Child and Adolescent Psychopharmacology · doi:10.1089/104454603322572589 · Cited by 91
Application of ecological momentary assessment in stress-related diseases
Yoshiuchi, K., Yamamoto, Y., & Akabayashi, A. (2008) · BioPsychoSocial Medicine · doi:10.1186/1751-0759-2-13 · Cited by 51
Cited by
Experience sampling methodology in mental health research: new insights and technical developments.
Myin‐Germeys, I., Kasanova, Z., Vaessen, T., Vachon, H., Kirtley, O., Viechtbauer, W., & Reininghaus, U. (2018) · World Psychiatry · doi:10.1002/wps.20513 · Cited by 709
The role of the individual in the coming era of process-based therapy
Hayes, S. C., Hofmann, S. G., Stanton, C. E., Carpenter, J. K., Sanford, B. T., Curtiss, J. E., & Ciarrochi, J. (2019) · Behaviour Research and Therapy · doi:10.1016/j.brat.2018.10.005 · Cited by 295
Riley, W. T., Serrano, K. J., Nilsen, W., & Atienza, A. A. (2015) · Current Opinion in Psychology · doi:10.1016/j.copsyc.2015.03.024 · Cited by 76
Lin, X., Mermelstein, R. J., & Hedeker, D. (2018) · Statistics in Medicine · doi:10.1002/sim.7627 · Cited by 48
Self-citationNonconvergence, covariance constraints, and class enumeration in growth mixture models.
McNeish, D., Harring, J. R., & Bauer, D. J. (2023) · Psychological Methods · doi:10.1037/met0000456 · Cited by 27
Metadata
- Authors
- Hedeker, D., Mermelstein, R. J., & Demirtas, H.
- Venue
- Statistics in Medicine
- Publisher
- Wiley
- Published
- 2012-03-15
- Volume
- 31
- Issue
- 27
- Pages
- 3328-3336
- ISSN
- 0277-6715 (ISSN-L)
- 1097-0258
- OpenAlex
- W2086585371
- Cited by
- 188
- References
- 5
- FWCI
- 6.59
- Type
- journal article
- Language
- en
- Open access
- bronze
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