This module is divided into two components that focus on cutting-edge statistical techniques.
The first half focuses on Structural Equation Models, covering Path Analysis, Confirmatory Factor Analysis, Structural Equation Modelling, Multigroup Models and Latent Mean Structures.
The second half focuses on Hierarchical (Multilevel/Mixed) Linear Models, which is appropriate for nested data (e.g., certain repeated-measures designs, students nested within schools, romantic couples, or individuals within groups).
In addition to the readings below, a Blackboard site will be maintained throughout the Semester, where lecture slides, additional readings, and datasets will be available.
Arbuckle, J. L. (2017). Amos 24: User’s guide. Chicago: SPSS.
Byrne, B. M. (2010). Structural equation modeling with AMOS: Basic concepts, applications, and programming (2nd ed.). Hove, UK: Routledge.
Kline, R. B. (2005). Principles and practice of structural equation modeling (2nd ed.). London: Guilford.
Bickel, R. (2007). Multilevel analysis for applied research: It's just regression. London: Guilford Press.
Heck, R. H., Thomas, S. L., & Tabata, L. N. (2010). Multilevel and longitudinal modeling with IBM SPSS. New York: Routledge.
Hox, J. (2010). Multilevel analysis: Techniques and application. (2nd ed). Abingdon: Routledge.