 Analysing state dependences in emotional experiences by dynamic count data modelsUlf Böckenholt Journal of the Royal Statistical Society Series C, 2003, vol. 52, issue 2, 213-226 Abstract: Summary. The paper presents a multilevel framework for the analysis of multivariate count data that are observed over several time periods for a random sample of individuals. The approach proposed facilitates studying observed and unobserved sources of dependences among the event categories in the presence of possibly higher order autoregressive effects. In an investigation of the relationships between pleasant and unpleasant emotional experiences and the personality traits neuroticism and extraversion over time, we find that the two personality factors are related to both the mean rates of the emotional experiences and their carry‐over effects. Respondents with high neuroticism scores not only reported more unpleasant than pleasant emotional experiences but also exhibited higher carry‐over effects for unpleasant than for pleasant emotions. In contrast, respondents with high extraversion scores reported fewer anxiety and more euphoria emotions than respondents with low extraversion scores with weaker carry‐over effects for both pleasant and unpleasant emotions. Date: 2003 Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:bla:jorssc:v:52:y:2003:i:2:p:213-226 Ordering information: This journal article can be ordered from Access Statistics for this article Journal of the Royal Statistical Society Series C is currently edited by R. Chandler and P. W. F. Smith More articles in Journal of the Royal Statistical Society Series C from Royal Statistical Society Contact information at EDIRC. |
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