Overview

The first in a series, this volume introduces a selection of 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 understanding and working knowledge of each method with a minimum of mathematical derivations. The chapters presented are organized within three general interrelated topics - measurement, decision analysis and modelling - that the editor considers the most important modern methods for conducting business research. The chapters on measurement discuss generalizability theory, latent trait and latent class models, and multi-faceted Rasch modelling. The chapters on decision analysis feature location theory models, data envelopment analysis and heuristic search procedures. The chapters on modelling examine exploratory and confirmatory factor analysis, dynamic factor analysis, partial least squares and structural equation modelling, multilevel data analysis, growth modelling and modelling of longitudinal data.

Full Product Details

Author:   George A. Marcoulides
Publisher:   Taylor & Francis Inc
Imprint:   Psychology Press
Weight:   0.990kg
ISBN:  

9780805826777

ISBN 10:   0805826777
Pages:   448
Publication Date:   01 March 1998
Audience:   College/higher education ,  Professional and scholarly ,  Undergraduate ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

Contents: Preface. G.A. Marcoulides, Applied Generalizability Theory Models. K.M. Schmidt McCollam, Latent Trait and Latent Class Models. M.E. Lunz, J.M. Linacre, Measurement Designs Using Multifacet Rasch Modeling. Z. Drezner, T. Drezner, Applied Location Theory Models. A.C. Soteriou, S.A. Zenios, Data Envelopment Analysis: An Introduction and an Application to Bank Branch Performance Assessment. S. Salhi, Heuristic Search Methods. R.H. Heck, Factor Analysis: Exploratory and Confirmatory Approaches. S.L. Hershberger, Dynamic Factor Analysis. E.E. Ridgon, Structural Equation Modeling. W.W. Chin, The Partial Least Squares Approach for Structural Equation Modeling. D. Kaplan, Methods for Multilevel Data Analysis. J.J. McArdle, Modeling Longitudinal Data by Latent Growth Curve Methods. P.K. Wood, Structural and Configural Models for Longitudinal Categorical Data.

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