Summer: Fridays 4:00pm -- 5:00pm, Reseadch I, Room 302

Spring: CSI 991
Section 003

Summer: CSI 991
Section X01

Contacts:

csutton@gmu.edu

jgentle@gmu.edu

The seminar will be conducted in the form a workshop.
Participants are encouraged to put
R
on their own laptops, and to bring them
to the seminars.

R has many different packages. Which are useful for the main (and, perhaps, non-mainstream)
statistical techniques used in analysis of latent variable models or, more
generally, in the social sciences?

The main reference text is Latent Variable Models, Fourth edition, by John C. Loehlin. The book is quite elementary, but we hope the book will point us to some interesting things to discuss.

**February 11**#### Organization and plans.

Brief intro to path models.

**February 18**Clarifications of some issues in Chapter 1.

- Prof Sutton's explanations of some results on page 13.
- Nick Clark's derivations of some correlations.
- Dan Saxon's justification of some details in Chapter 1.
- Jonathan Lisic's formulation of path models in terms of regression.

**February 25**Factor analysis (one of the earliest instances of the concept of "latent" variables) and its relation to path models.

Forge ahead into Chapter 2.

Jonathan Lisic's R code that uses the OpenMX package.

**March 4**

**March 11**#### No meeting.

**March 18**#### No meeting.

**March 25**Arun's R code for Fig-2.5. This uses the OpenMX package, but it doesn't produce the same results as SAS. We need to figure this out.

Jonathan's R code. Uses OpenMX package for fitting and uses Newton's method and the derived discrepancy function for ML estimation.

Here's an interesting website that uses the sem package to work some of the examples in the text.

**April 1**Nick's R code that uses the sem package for Loehlin problems Table 2-5 and Table 2-12.

Jonathan's MLE and LR results for SEs.

**April 8**

**April 15**Dan's R code that uses the sem package for models in Loehlin pages 97, 98.

**April 22**Arun's R code for Figure 3.1 and for Figure 3.7.

**April 29**No meeting

**May 6**Interesting article Jonathan found

**June 10**Review and preview.

**June 17**No meeting

**June 24**Factor analysis in R.

**July 1**No meeting

**July 8**Factor analysis in R.

**July 15**No meeting

**July 22**More on factor analysis.

**July 29**Xun Wang's example of latent variables in inflation mesaurement.

More on factor analysis (Hatice).

**August 5**More on factor analysis: factanal and SEM-R (Hatice).

**August 12**More on factor analysis: review of factanal and SEM-R.