The statistical analysis of data from small groups.

作者：David A. Kenny, Lucia Mannetti, Antonio Pierro, Stefano Livi, Deborah A. Kashy · 发表于：Journal of Personality and Social Psychology · 年份：2002 · DOI：10.1037/0022-3514.83.1.126 · 被引用次数：450 · 研究领域：Opinion Dynamics and Social Influence、Social and Intergroup Psychology、Complex Network Analysis Techniques

The authors elaborate the complications and the opportunities inherent in the statistical analysis of small-group data. They begin by discussing nonindependence of group members' scores and then consider standard methods for the analysis of small-group data and determine that these methods do not take into account this nonindependence. A new method is proposed that uses multilevel modeling and allows for negative nonindependence and mutual influence. Finally, the complications of interactions, different group sizes, and differential effects are considered. The authors strongly urge that the analysis model of data from small-group studies should mirror the psychological processes that generate those data.