| This dissertation incorporates a factor analysis model into a two-level hierarchical linear model (HLM). It provides the model layout in HLM maximum likelihood estimators. A computational program to implement the theory is developed. Special attention is focused on the application of the model in order to create a bridge between the statistical model and applications in education and human development. That is, I describe in detail when and in what context the model might be useful and the kinds of research questions that can be addressed using this model, so that researchers who are interested in substantive issues rather than statistical issues can format and derives the immediately apply the model to their research.;Real as well as artificial data sets are used to illustrate the theory, the application, and the interpretation of the results. In the last Chapter, extensions of this model and their settings are mentioned. |
