Abstract

 
 

References (52)



 


 



Key Informant Models for Measuring Group-Level Variables in Small Groups


René Algesheimer


University of Zurich

Richard P. Bagozzi


University of Michigan - Stephen M. Ross School of Business

Utpal M. Dholakia


Rice University - Jesse H. Jones Graduate School of Business

January 26, 2012


Abstract:     
We offer a new conceptualization and measurement models for constructs at a group-level of analysis in small group research. The conceptualization starts with classical notions of group behavior proposed by Tönnies, Simmel, and Weber but then draws upon plural subject theory by philosophers Gilbert and Tuomela to frame a new perspective applicable to many forms of small group behavior. In the proposed measurement model, a collective property is operationalized as interdependent interpersonal action that explicitly allows us to control for systematic (method) error and random error. Group members act as key-informants of group properties and processes and are treated as methods in a multi-trait multi-method setting to validate our models. The models are applied to empirical data of 277 three-person groups to develop and illustrate new procedures for ascertaining variation in measures due to hypothesized construct(s), method error, and random error. Implications and guidelines for small group research are discussed.

Number of Pages in PDF File: 56

Keywords: Key informant model, small groups, construct validity, multi-trait multi-method matrix

JEL Classification: C30, C81

working papers series


Download This Paper

Date posted: January 26, 2012  

Suggested Citation

Algesheimer, René, Bagozzi, Richard P. and Dholakia, Utpal M., Key Informant Models for Measuring Group-Level Variables in Small Groups (January 26, 2012). Available at SSRN: http://ssrn.com/abstract=1992439 or http://dx.doi.org/10.2139/ssrn.1992439

Contact Information

René Algesheimer (Contact Author)
University of Zurich ( email )
Department of Business Administration
Plattenstrasse 14
Zurich, 8032
Switzerland
HOME PAGE: http://www.market-research.uzh.ch
Richard P. Bagozzi
University of Michigan - Stephen M. Ross School of Business ( email )
701 Tappan Street
Ann Arbor, MI 48109
United States
Utpal M. Dholakia
Rice University - Jesse H. Jones Graduate School of Business ( email )
6100 South Main Street
P.O. Box 1892
Houston, TX 77005-1892
United States
Feedback to SSRN (Beta)


Paper statistics
Abstract Views: 276
Downloads: 50
References:  52

© 2013 Social Science Electronic Publishing, Inc. All Rights Reserved.  FAQ   Terms of Use   Privacy Policy   Copyright
This page was processed by apollo7 in 0.328 seconds