Survey of statistical models for analyzing latent variables. Topics include path analysis, confirmatory factor analysis, structural equation modeling, latent class modeling, item response theory, and diagnostic classification models. Emphasis on applications in educational research.
Athena Title
Survey Latent Variable Models
Equivalent Courses
Not open to students with credit in ERSH 8130E
Prerequisite
(ERSH 8310 or ERSH 8310E) and (ERSH 8320 or ERSH 8320E)
Semester Course Offered
Offered fall
Grading System
A - F (Traditional)
Student learning Outcomes
Students successfully completing the course will be able to explain the purpose of latent variable models in educational research.
Students successfully completing the course will be able to determine when a latent variable model is appropriate in a research context.
Students successfully completing the course will be able to select appropriate latent variable techniques to answer research questions of interest.
Students successfully completing the course will be able to use software to analyze latent variable models and obtain results.
Students successfully completing the course will be able to statistically and practically interpret model results.
Students successfully completing the course will be able to evaluate results from latent variable models.
Students successfully completing the course will be able to draw appropriate conclusions from latent variable models.
Students successfully completing the course will be able to read and critique research articles applying latent variable models.
Students successfully completing the course will be able to clearly communicate findings to a target audience.
