A Beginner's Guide to Structural Equation Modeling - Couverture rigide

Schumacker, Randall E.; Lomax, Richard G.

Couverture rigide

ISBN 10 : 0805840176 ISBN 13 : 9780805840179

Editeur : Lawrence Erlbaum Associates Inc, 2004

A propos du livre

Biographie de l'auteur

Randall E. Schumacker is Professor of Educational Research at The University of Alabama where he teaches courses in structural equation modeling. He received his Ph.D. in Educational Psychology from Southern Illinois University. A Past-President of the Southwest Educational Research Association and Emeritus Editor of Structural Equation Modeling, Dr. Schumacker has also served on the editorial boards of numerous journals. His research interests include modeling interaction in SEM, robust statistics, measurement model issues related to estimation, and reliability.

Richard G. Lomax is a Professor in the School of Educational Policy and Leadership at The Ohio State University where he teaches courses in structural equation modeling. He received his Ph.D. in Educational Research Methodology from the University of Pittsburgh. He has served on the editorial boards of numerous journals. His research focuses on models of literacy acquisition, multivariate statistics, and assessment.

Présentation de l'éditeur

The second edition features:

• a CD with all of the book's Amos, EQS, and LISREL programs and data sets;
• new chapters on importing data issues related to data editing and on how to report research;
• an updated introduction to matrix notation and programs that illustrate how to compute these calculations;
• many more computer program examples and chapter exercises; and
• increased coverage of factors that affect correlation, the 4-step approach to SEM and hypothesis testing, significance, power, and sample size issues.

The new edition's expanded use of applications make this book ideal for advanced students and researchers in psychology, education, business, health care, political science, sociology, and biology. A basic understanding of correlation is assumed and an understanding of the matrices used in SEM models is encouraged.

Détails de l'édition

• Éditeur: Lawrence Erlbaum Associates Inc
• Date d'édition: 2004
• ISBN 10: 0805840176
• ISBN 13: 9780805840179
• Reliure: Relié
• Langue: anglais
• Numéro d'édition: 2
• Nombre de pages: 304