File(s) under permanent embargo
Bayesian hierarchical modeling of the temporal dynamics of subjective well-being: A 10 year longitudinal analysis
journal contribution
posted on 2015-12-01, 00:00 authored by Jeromy AnglimJeromy Anglim, Melissa Weinberg, Robert CumminsRobert CumminsThis study demonstrates, for the first time, how Bayesian hierarchical modeling can be applied to yield novel insights into the long-term temporal dynamics of subjective well-being (SWB). Several models were proposed and examined using Bayesian methods. The models were assessed using a sample of Australian adults (. n=. 1081) who provided annual SWB scores on between 5 and 10 occasions. The best fitting models involved a probit transformation, allowed error variance to vary across participants, and did not include a lag parameter. Including a random linear and quadratic effect resulted in only a small improvement over the intercept only model. Examination of individual-level fits suggested that most participants were stable with a small subset exhibiting patterns of systematic change.
History
Journal
Journal of research in personalityVolume
59Pagination
1 - 14Publisher
ElsevierLocation
Amsterdam, The NetherlandsPublisher DOI
ISSN
0092-6566eISSN
1095-7251Language
engPublication classification
C Journal article; C1 Refereed article in a scholarly journalCopyright notice
2015, ElsevierUsage metrics
Categories
No categories selectedKeywords
Licence
Exports
RefWorks
BibTeX
Ref. manager
Endnote
DataCite
NLM
DC