Transcription of Factor Analysis - Harvard University
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Factor Analysis Qian-Li Xue Biostatistics Program Harvard Catalyst | The Harvard Clinical & Translational Science Center Short course, October 27, 2016. 1. Well-used latent variable models Latent Observed variable scale variable scale Continuous Discrete Continuous Factor Discrete FA. Analysis IRT (item response). LISREL. Discrete Latent profile Latent class Growth mixture Analysis , regression General software: MPlus, Latent Gold, WinBugs (Bayesian), NLMIXED (SAS). Objectives What is Factor Analysis ? What do we need Factor Analysis for?
e.g. squared correlation between a variable and the remaining variables b) Solve objective function: det(R LS-ηI)=0, where R LS is the corr matrix with h2 in the main diag. (also termed adjusted corr matrix), η is an eigenvalue c) Re-estimate h2 d) Repeat b) and c) until no improvement can be made 18
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