Examining Interindividual Differences in Cyclicity of Pleasant and Unpleasant Affects Using Spectral Analysis and Item Response Modeling |
| |
Authors: | Email author" target="_blank">Nilam?RamEmail author Sy-Miin?Chow Ryan?P?Bowles Lijuan?Wang Kevin?Grimm Frank?Fujita John?R?Nesselroade |
| |
Institution: | (1) Department of Psychology, University of Virginia, PO Box 400400, Charlottesville, VA, 22904-4400, USA.;(2) University of Notre Dame, Notre Dame;(3) University of Indiana, South Bend |
| |
Abstract: | Weekly cycles in emotion were examined by combining item response modeling and spectral analysis approaches in an analysis
of 179 college students' reports of daily emotions experienced over 7 weeks. We addressed the measurement of emotion using
an item response model. Spectral analysis and multilevel sinusoidal models were used to identify interindividual differences
in intraindividual cyclic change. Simulations and incomplete data designs were used to examine how well this combination of
analysis techniques might work when applied to other practical data problems. Empirically, we found systematic individual
differences in the extent to which individuals' emotions follow a weekly cycle, and in how such cycles are exhibited. Weekly
cycles accounted for very little variance in day to day emotions at the individual level. Analytically, we illustrate how
measurement, change, and interindividual difference models from different traditions may be combined in a practical manner
to describe some of the complexities of human behavior.
The authors gratefully acknowledge the support provided by grant T32 AG20500 from the National Institute on Aging in the preparation
of this article. Special thanks to those at the Institute for Developmental and Health Research Methodology at the University
of Virginia and to Paul De Boeck and the reviewers for helpful comments on earlier versions of this work. |
| |
Keywords: | non-linear multilevel longitudinal missing data emotion |
本文献已被 SpringerLink 等数据库收录! |
|