Scott Loring Thomas (1 results)

Hardback. Condition: New. By Ronald H. Heck and Scott Loring Thomas, this text treats the analysis of hierarchical data, such as students nested within schools, through two traditions: multilevel regression (MLM) and multilevel structural equation modeling with latent variables (SEM). It covers models for both univariate and multivariate outcomes, sets the two approaches side by side, and considers which suits a given research aim. Longitudinal data are handled with both random-effect and fixed-effect methods, two-level latent variable models are run in Mplus, and a separate chapter deals with data considerations in examining multilevel models.…