Lomax, Richard G. Schumacker, Randall E.
A Beginner's Guide to Structural Equation Modeling - 2nd ed. - Mahwah, New Jersey and London, Lawrence Erlbaum Associates 2004, - 498 pages - C1 90
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.
0-8058-4018-4
statistical method
regression analysis
correlaton
Structural Equation Modeling
A Beginner's Guide to Structural Equation Modeling - 2nd ed. - Mahwah, New Jersey and London, Lawrence Erlbaum Associates 2004, - 498 pages - C1 90
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.
0-8058-4018-4
statistical method
regression analysis
correlaton
Structural Equation Modeling
