Modeling heterogeneity in social interaction processes using multilevel survival analysis

No Thumbnail Available
Authors
Stoolmiller, Mike
Snyder, James J.
Advisors
Issue Date
2006-06
Type
Article
Keywords
Research Support, N.I.H., Extramural
Research Projects
Organizational Units
Journal Issue
Citation
Psychological methods. 2006 Jun; 11(2): 164-77.
Abstract

More than 15 years ago, survival or hazard regression analyses were introduced to psychology (W. Gardner & W. A. Griffin, 1989; W. A. Griffin & W. Gardner, 1989) as powerful methodological tools for studying real time social interaction processes among dyads. Almost no additional published applications have appeared, although such data are commonly collected and the applicable questions are central to many important theoretical perspectives. To revisit the basic methods, the authors use an example from emotion regulation theory in which the level of child antisocial behavior is hypothesized to be positively associated with the hazard rate of angry emotions and negatively associated with sad, fearful emotions in the face of parental negative behavior (scolding). The authors discuss the limitations of traditional approaches to the analysis of social interaction and demonstrate improvements in the ability to model individual differences now available in existing software.

Table of Contents
Description
Click on the DOI link below to access the article (may not be free).
Publisher
American Psychological Association
Journal
Book Title
Series
Psychological Methods
Psychol Methods
PubMed ID
DOI
ISSN
1082-989X
EISSN