TABLE 16.1 SPSS Correlation Output Correlations COLUMN 1 COLUMN 2 COLUMN 3 COLUMN 4 COL1 Pearson Correlation 1.000 .404a ... cholesky root of cov matrix */ z = normal(j(v,n, seed)); /* generate nvars*samplesize normal distribution */.
Chapter exercises provide practice with and enhance understanding of the analysis of each model. The book concludes with a review of SEM guidelines for reporting research.
The model-fit criteria have stirred much controversy and discussion on their subjective interpretation and appropriateness under specific modeling conditions (see Marsh, Balla, & Hau, 1996 for further discussion).
There are three methods used to compute factor scores: regression (Thurstone, 1935); Bartlett (Bartlett, 1937), and Anderson–Rubin (Anderson & Rubin, 1956). The regression method maximizes the validity of the construct (factor variance ...
Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ: Lawrence Erlbaum. Cohen, J., & Cohen, P. (1983). Applied multiple regression/correlation analysis for the behavioral sciences (2nd ed.).
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.
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.
This revised edition is intended to give students and researchers a basic understanding of SEM, focusing on the conceptual steps one takes in analyzing theoretical models.
This book is intended for true beginners in SEM and is designed for introductory graduate courses in SEM taught in psychology, education, business, and the social and healthcare sciences.
Key advances in structural equation modeling. In R. H. Hoyle (Ed.), Handbook of structural equation modeling (pp. 3–16). New York: Guilford Press. Mulaik, S. A. (2009). Linear causal modeling with structural equations.