A Beginner's Guide to Structural Equation ModelingThe second edition features:
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. |
Contents
CHAPTER 1 INTRODUCTION | 1 |
CHAPTER 2 DATA ENTRY AND DATA EDITING ISSUES | 11 |
CHAPTER 3 CORRELATION | 35 |
CHAPTER 4 SEM BASICS | 57 |
CHAPTER 5 MODEL FIT | 72 |
CHAPTER 6 REGRESSION MODELS | 113 |
CHAPTER 7 PATH MODELS | 138 |
CHAPTER 8 CONFIRMATORY FACTOR MODELS | 154 |
CHAPTER 11 REPORTING SEM RESEARCH | 213 |
CHAPTER 12 MODEL VALIDATION | 240 |
CHAPTER 13 SEM APPLICATIONS PART I | 298 |
CHAPTER 14 SEM APPLICATIONS PART II | 328 |
CHAPTER 15 MATRIX APPROACH TO STRUCTURAL EQUATION MODELING | 376 |
INTRODUCTION TO MATRIX OPERATIONS | 421 |
ABOUT THE AUTHORS | 435 |
| 449 | |
CHAPTER 9 DEVELOPING STRUCTURAL EQUATION MODELS PART I | 182 |
CHAPTER 10 DEVELOPING STRUCTURAL EQUATION MODELS PART II | 197 |
Other editions - View all
A Beginner's Guide to Structural Equation Modeling Randall E. Schumacker,Richard G. Lomax Limited preview - 2004 |
A Beginner's Guide to Structural Equation Modeling, Volume 1 Randall E. Schumacker,Richard G. Lomax No preview available - 2004 |
Common terms and phrases
Amos basic Bentler bootstrap chapter chi-square command Confidence Interval confirmatory factor model correlation coefficient correlation matrix covariance matrix covariance structure cross-validation data file degrees of freedom ECVI EDASP EQS program error variances example factor analysis factor loadings FAMINC free parameters goodness-of-fit groups hypothesized indicator variables Jöreskog kurtosis Lagrange multiplier latent independent variables latent variable linear LISREL LISREL-SIMPLIS program maximum likelihood means measurement error measurement model methods missing data missing values model fit indices model modification model specification modification indices multilevel multilevel models multiple regression observed variables OCASP outliers parameter estimates path coefficients path model prediction QUANTAB QUANTACH regression model relationships reliability researcher RMSEA Root Mean Square sample data samples of data saturated model scores SIMULATION Sörbom specification search SPSS standard deviations standard errors statistically significant structural equation modeling structural model structure coefficients system file theoretical model VAR1 VAR2 VAR3 variance-covariance matrix VERBACH Verbal zero