Longitudinal Structural Equation Modeling
Featuring actual datasets as illustrative examples, this book reveals numerous ways to apply structural equation modeling (SEM) to any repeated-measures study. Initial chapters lay the groundwork for modeling a longitudinal change process, from measurement, design, and specification issues to model evaluation and interpretation. Covering both big-picture ideas and technical qhow-to-do-itq details, the author deftly walks through when and how to use longitudinal confirmatory factor analysis, longitudinal panel models (including the multiple-group case), multilevel models, growth curve models, and complex factor models, as well as models for mediation and moderation. User-friendly features include equation boxes that clearly explain the elements in every equation, end-of-chapter glossaries, and annotated suggestions for further reading. The companion website (www.guilford.com/little-materials) provides datasets for all of the examples--which include studies of bullying, adolescent students' emotions, and healthy aging--with syntax and output from LISREL, Mplus, and R (lavaan).not be accepted to the graduate training program because I had not taken the Graduate Record Examinations (GREs), ... the PhD program at UC Riverside or would attend nearby California State University to get a mastera#39;s degree in English.
| Title | : | Longitudinal Structural Equation Modeling |
| Author | : | PhD Todd D. Little |
| Publisher | : | Guilford Press - 2013-02-26 |
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