Jeffrey R. Edwards

Methods for integrating moderation and mediation: a general analytical framework using moderated path analysis.

Studies that combine moderation and mediation are prevalent in basic and applied psychology research. Typically, these studies are framed in terms of moderated mediation or mediated moderation, both of which involve similar analytical approaches. Unfortunately, these approaches have important shortcomings that conceal the nature of the moderated and the mediated effects under investigation. This article presents a general analytical framework for combining moderation and mediation that integrates moderated regression analysis and path analysis. This framework clarifies how moderator variables influence the paths that constitute the direct, indirect, and total effects of mediated models. The authors empirically illustrate this framework and give step-by-step instructions for estimation and interpretation. They summarize the advantages of their framework over current approaches, explain how it subsumes moderated mediation and mediated moderation, and describe how it can accommodate additional moderator and mediator variables, curvilinear relationships, and structural equation models with latent variables.

A General Approach for Representing Constructs in Organizational Research

A key assumption underlying methods of construct validation is that constructs and their indicators are represented at the appropriate depth (i.e., the specificity versus generality of constructs and their indicators). This article presents a framework that depicts constructs and indicators at various depths and provides guidelines for choosing from among these depths. The framework is then integrated with methods of construct validation based on the confirmatory factor analysis of multitrait-multimethod (MTMM) matrices. The authors apply these methods to the measurement of work values, using the Work Aspect Preference Scale (WAPS). Results show that the WAPS performs better when used to represent relatively specific work values as opposed to more global, general values. Further analyses supported the generalizability of the WAPS factor structure for men and women, although gender differences were found on structured means for several latent value dimensions.

Multidimensional Constructs in Organizational Behavior Research: An Integrative Analytical Framework

Multidimensional constructs are widely used to represent several distinct dimensions as a single theoretical concept. The utility of multidimensional constructs relative to their dimensions has generated considerable debate, and this debate creates a dilemma for researchers who want the breadth and comprehensiveness of multidimensional constructs and the precision and clarity of their dimensions. To address this dilemma, this article presents an integrative analytical framework that incorporates multidimensional constructs and their dimensions, using structural equation modeling with latent variables. This framework permits the study of broad questions regarding multidimensional constructs along with specific questions concerning the dimensions of these constructs. The framework also provides tests of issues underlying the multidimensional construct debate, thereby allowing researchers to address these issues on a study-by-study basis. The framework is illustrated using data from studies of the effects of personality on responses to conflict and the effects of work attitudes on employee adaptation.

On the Use of Polynomial Regression Equations As An Alternative to Difference Scores in Organizational Research

For decades, difference scores have been widely used in studies of congruence in organizational research. Although methodological problems with difference scores are well known, few viable alternat...

Complementary and supplementary fit: a theoretical and empirical integration.

Complementary and supplementary fit represent 2 distinct traditions within the person-environment fit paradigm. However, these traditions have progressed in parallel but separate streams. This article articulates the theoretical underpinnings of the 2 traditions, using psychological need fulfillment and value congruence as prototypes of each tradition. Using a sample of 963 adult employees ranging from laborers to executives, the authors test 3 alternative conceptual models that examine the complementary and supplementary traditions. Results show that an integrative model dominates the other two, such that both traditions simultaneously predict outcomes in different ways.

Ten Difference Score Myths

Difference scores have been widely used in studies of fit, similarity, and agreement. Despite their widespread use, difference scores suffer from numerous methodological problems. These problems can be mitigated or avoided with polynomial regression analysis, and this method has become increasingly prevalent during the past decade. Unfortunately, a number of potentially damaging myths have begun to spread regarding the drawbacks of difference scores and the advantages of polynomial regression. If these myths go unchecked, difference scores and the problems they create are likely to persist in studies of fit, similarity, and agreement. This article reviews 10 difference score myths and attempts to dispel these myths, focusing on studies conducted since polynomial regression was formally introduced as an alternative to difference scores.

Recent Advances in Causal Modeling Methods for Organizational and Management Research

The purpose of this article is to review recent advanced applications of causal modeling methods in organizational and management research. Developments over the past 10 years involving research on measurement and structural components of causal models will be discussed. Specific topics to be addressed include reflective vs. formative measurement, multidimensional construct assessment, method variance, measurement invariance, latent growth modeling (LGM), moderated structural relationships, and analysis of latent variable means. For each of the areas mentioned above an overview of developments will be presented, and examples from organizational and management research will be provided.

The phenomenology of fit: linking the person and environment to the subjective experience of person-environment fit.

The authors distinguished 3 approaches to the study of perceived person-environment fit (P-E fit): (a) atomistic, which examines perceptions of the person and environment as separate entities; (b) molecular, which concerns the perceived comparison between the person and environment; and (c) molar, which focuses on the perceived similarity, match, or fit between the person and environment. Distinctions among these approaches have fundamental implications for theory, measurement, and the subjective experience of P-E fit, yet research has treated these approaches as interchangeable. This study investigated the meaning and relationships among the atomistic, molecular, and molar approaches to fit and examined factors that influence the strength of these relationships. Results showed that the relationships among the approaches deviate markedly from the theoretical logic that links them together. Supplemental analyses indicated that molar fit overlaps with affect and molecular fit gives different weight to atomistic person and environment information depending on how the comparison is framed. These findings challenge fundamental assumptions underlying P-E fit theories and have important implications for future research.

12 Structural Equation Modeling in Management Research: A Guide for Improved Analysis

Abstract A large segment of management research in recent years has used structural equation modeling (SEM) as an analytical approach that simultaneously combines factor analysis and linear regression models for theory testing. With this approach, latent variables (factors) represent the concepts of a theory, and data from measures (indicators) are used as input for statistical analyses that provide evidence about the relationships among latent variables. This chapter first provides a brief introduction to SEM and its concepts and terminology. We then discuss four issues related to the measurement component of such models, including how indicators are developed, types of relationships between indicators and latent variables, approaches for multidimensional constructs, and analyses needed when data from multiple time points or multiple groups are examined. In our second major section, we focus on six issues related to the structural component of structural equation models, including how to examine mediatio...

The Fallacy of Formative Measurement

In management research, there is a growing trend toward formative measurement, in which measures are treated as causes of constructs. Formative measurement can be contrasted with reflective measurement, in which constructs are specified as causes of measures. Although recent work seems to suggest that formative measurement is a viable alternative to reflective measurement, the emerging enthusiasm for formative measurement is based on conceptions of constructs, measures, and causality that are difficult to defend. This article critically compares reflective and formative measurement on the basis of dimensionality, internal consistency, identification, measurement error, construct validity, and causality. This comparison leads to the conclusion that the presumed viability of formative measurement is a fallacy, and the objectives of formative measurement can be achieved using alternative models with reflective measures.