Modern Methods for Business Research
Book Details
Format
Hardback or Cased Book
Book Series
Quantitative Methodology Series
ISBN-10
0805826777
ISBN-13
9780805826777
Publisher
Taylor & Francis Inc
Imprint
Psychology Press
Country of Manufacture
US
Country of Publication
GB
Publication Date
Mar 1st, 1998
Print length
448 Pages
Weight
990 grams
Product Classification:
Business mathematics & systemsOperational research
Ksh 27,900.00
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The puropse of the volume is is to introduce a selection of the latest popular methods for conducting business research. The goal is to provide an understanding and working knowledge of each method.
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 understanding of each method with a minimum of mathematical derivations. The chapters are organized within three general interrelated topics--Measurement, Decision Analysis, and Modeling.
The chapters on measurement discuss generalizability theory, latent trait and latent class models, and multi-faceted Rasch modeling. The chapters on decision analysis feature applied location theory models, data envelopment analysis, and heuristic search procedures. The chapters on modeling examine exploratory and confirmatory factor analysis, dynamic factor analysis, partial least squares and structural equation modeling, multilevel data analysis, modeling of longitudinal data by latent growth curve methods and structures, and configural models of longitudinal categorical data.
The chapters on measurement discuss generalizability theory, latent trait and latent class models, and multi-faceted Rasch modeling. The chapters on decision analysis feature applied location theory models, data envelopment analysis, and heuristic search procedures. The chapters on modeling examine exploratory and confirmatory factor analysis, dynamic factor analysis, partial least squares and structural equation modeling, multilevel data analysis, modeling of longitudinal data by latent growth curve methods and structures, and configural models of longitudinal categorical data.
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