The roles of affective and cognitive processes in judgment have been the focus of much recent research and theoretical debate. This study was designed to investigate the structure of voters' affective reactions and trait attributions to national political figures. Three-mode factor analysis was...

Periodically, social scientists debate the strengths and weaknesses of hypothesis testing (for which researchers pose the question, e.g., "Are my group means the same or different?") compared with effects estimation (motivated by the question, "How large is the difference between my group...

This research presents the inferential statistics for Cronbach’s coefficient alpha on the basis of the standard statistical assumption of multivariate normality. The estimation of alpha’s standard error (ASE) and confidence intervals are described, and the authors analytically and...

In this paper, we suggest ways to improve mediation analysis practice among consumer behavior researchers. We review the current methodology and demonstrate the superiority of structural equations modeling, both for assessing the classic mediation questions and for enabling researchers to extend...

This article is the second of two parts intended to serve as a primer for structural equations models for the behavioral researcher. The first article introduced the basics: the measurement model, the structural model, and the combined, full structural equations model. In this second article,...

This article is intended to serve as a primer for structural equations models for the behavioral researcher. The technique is not mysterious — it is a natural extension of factor analysis and regression. The measurement part of a structural equations model is essentially a confirmatory factor...

This article examines one of the functions of "intelligent agents" used by service providers on the Internet (e.g., retailers and information search engines) that compare a user's profile to data on other users to determine which users in the database are similar to the focal user, and which...

Networks are extremely important in marketing because so much of marketing is relational, and network methods are important and appropriate tools for studying such structures of interconnections. In this paper, we model data that represent consumer brand switching in the French and British...

Interpersonal relationships are an important and integral part of numerous social science research agendas. Analytical tools have been created in the last 10 years that model dyadic interactions. In particular, this article focuses on the dyadic models of Fienberg and Wasserman [Fienberg, S.E.,...

A new method is proposed for the statistical analysis of dyadic social interaction data measured over time. The data to be studied are assumed to be realizations of a social network of a fixed set of actors interacting on a single relation. The method is based on loglinear models for the...