Student Solutions Manual for Business Mathematics Complete and Brief Editions / Edition 9

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Overview

Designed for students and researchers without an extensive quantitative background, this book offers an informative guide to the application, interpretation, and pitfalls of structural equation modeling (SEM) in the social sciences. This is an accessible volume which covers introductory techniques, including path analysis and confirmatory factor analysis, and provides an overview of more advanced methods, such as the evaluation of nonlinear effects, the analysis of means in covariance structure models, and latent growth models for longitudinal data. Providing examples from various disciplines to illustrate all aspects of SEM, the author offers clear instructions on the preparation and screening of data, common mistakes to avoid, and features of widely used software programs (Amos, EQS, and LISREL). Readers will acquire the skills necessary to begin to use SEM in their own research and to interpret and critique the use of the method by others.

The book contains black-and-white illustrations.

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Editorial Reviews

Booknews
Offers a guide to the application, interpretation, and pitfalls of structural equation modeling (SEM) in the social sciences, for students and researchers without extensive quantitative background. Covers introductory techniques, including path analysis and confirmatory factor analysis, and provides an overview of more advanced methods, such as the evaluation of nonlinear effects, the analysis of means in covariance structure models, and latent growth models for longitudinal data. Gives instructions on preparation and screening of data, and discusses widely used software programs. Annotation c. by Book News, Inc., Portland, Or.
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Product Details

  • ISBN-13: 9780132179997
  • Publisher: Pearson
  • Publication date: 4/8/2011
  • Edition description: Older Edition
  • Edition number: 9
  • Pages: 110
  • Product dimensions: 8.10 (w) x 10.70 (h) x 0.30 (d)

Meet the Author

Rex B. Kline is Professor of Psychology at Concordia University in Montréal, Québec, Canada. Since earning a doctorate in clinical psychology, he has conducted research on the psychometric evaluation of cognitive abilities, child clinical assessment, structural equation modeling, training of behavioral science researchers, and usability engineering in computer science. Dr. Kline has published five books, six chapters, and more than 40 articles in research journals.

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Table of Contents

1 Introduction 3
2 Basic statistical concepts : I. correlation and regression 20
3 Basic statistical concepts : II. data preparation and screening 45
4 Core SEM techniques for software 63
5 Introduction to path analysis 93
6 Details of path analysis 123
7 Measurement models and confirmatory factor analysis 165
8 Models with structural and measurement components 209
9 Nonrecursive structural models 237
10 Mean structures and latent growth models 263
11 Multiple-sample SEM 289
12 How to fool yourself with SEM 313
13 Other horizons 325
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