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The moderator-mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations.
This article seeks to make theorists and researchers aware of the importance of not using the terms moderator and mediator interchangeably by carefully elaborating the many ways in which moderators and mediators differ, and delineates the conceptual and strategic implications of making use of such distinctions with regard to a wide range of phenomena.
Dyadic Data Analysis
Basic Definitions and Overview. The Measurement of Nonindependence. Analyzing Between- and Within-Dyads Independent Variables. Using Multilevel Modeling to Study Dyads. Using Structural Equation
Interpersonal Perception: A Social Relations Analysis
Seven basic research questions in interpersonal perception are posed concerning issues of consensus, assimilation, reciprocity, accuracy, congruence, assumed similarity and self—other agreement. All
The Actor–Partner Interdependence Model: A model of bidirectional effects in developmental studies
The actor–partner interdependence model (APIM) is a model of dyadic relationships that integrates a conceptual view of interdependence with the appropriate statistical techniques for measuring and
Models of Non-Independence in Dyadic Research
In dyadic research, the responses of the two members of the dyad are likely to be non-independent. Statistical estimation for three different processes that bring about non-independence are
Process Analysis
This article presents the rationale and procedures for conducting a process analysis in evaluation research. Such an analysis attempts to identify the process that mediates the effects of some
Correlation and Causation.
The ideal method of science is the study of the direct influence of one condition on another in experiments in which all other possible causes of variation are eliminated. Unfortunately, causes of
Effect of the Number of Variables on Measures of Fit in Structural Equation Modeling
There has been relatively little systematic investigation of the effect of the number of variables on measures of model fit in structural equation modeling. There is conflicting evidence as to