Analyzing Multiple Emotions over Time by Autoregressive Negative Multinomial Regression Models
作者:
Ulf Böckenholt,
期刊:
Journal of the American Statistical Association
(Taylor Available online 1999)
卷期:
Volume 94,
issue 447
页码: 757-765
ISSN:0162-1459
年代: 1999
DOI:10.1080/01621459.1999.10474178
出版商: Taylor & Francis Group
关键词: Binomial thinning;Count data;Multilevel models;Negative multinomial distribution
数据来源: Taylor
摘要:
This article presents an autoregressive random coefficient model with overdispersed negative multinomial marginal distributions for the analysis of heterogeneity and serial dependencies in multivariate longitudinal count data. The model structure consists of four components that take into account (a) individual difference effects, (b) random time effects, (c) multiple event categories, and (d) autodependencies. The last component is based on a stochastic integer-valued autoregressive process proposed by McKenzie. The model is applied to analyze count data from a panel diary study about the relationship between personality factors and emotion experiences. It is shown that there are large and stable individual personality differences in the incidence and duration of self-reported emotional experiences. Theoretical and clinical implications of this result are discussed.
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