Multivariate Analysis with Latent Variables

(Same as Political Science M208D and Statistics M242.) Lecture, three hours. Introduction to models and methods for analysis of data hypothesized to be generated by unmeasured latent variables, including latent variable analogues of traditional methods in multivariate analysis. Causal modeling: theory testing via analysis of moment structures. Measurement models such as confirmatory, higher-order, and structured-means factory analytic models. Structural equation models, including path and simultaneous equation models. Parameter estimation, hypothesis testing, and other statistical issues. Computer implementation. Applications. S/U or letter grading.

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Enrollment Progress

Jul 9, 4 PM PDT
LEC 1: 19/25 seats taken (Open)
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Section List

  • LEC 1

    Open (3 seats)

    TR 2pm-3:15pm

    Pritzker Hall 1531

Course

Instructor
Amanda Montoya
Previously taught
22F

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