Recent years have seen an emergence of network modeling applied to moods, attitudes,
and problems in the realm of psychology. In this framework, psychological variables are …

Use of causal models in marketing has grown significantly. By combining data and theory,
these models provide researchers with more powerful opportunities to advance scientific …

A simulation study compared the performance of robust normal theory maximum likelihood
(ML) and robust categorical least squares (cat-LS) methodology for estimating confirmatory …

This book reviews the statistical procedures used to detect measurement bias. Measurement
bias is examined from a general latent variable perspective so as to accommodate different …

Structural equation modeling (SEM) has become an extremely popular data analytic
technique in education, psychology, business, and other disciplines (Austin & Calderón …

Confirmatory factor analysis (CFA) is widely used for examining hypothesized relations
among ordinal variables (eg, Likert-type items). A theoretically appropriate method fits the …

Factor analysis models with ordinal indicators are often estimated using a 3-stage procedure
where the last stage involves obtaining parameter estimates by least squares from the …

During the past decade, marketing managers and scholars have focused increased
attention on buyer–seller relationships in business markets. This article contributes to the …

This volume introduces the latest popular methods for conducting business research. The
goal of each chapter author--a leading authority in a particular subject area--is to provide an …

Wille (1996) proposed an item selection strategy which may be used to maximise, first, the
internal consistency and, next, the convergent and discriminant validity of items in multi …