Future Courses

These are courses that I'd one day like to teach.   For some of the courses, I've put a little thought into what I'd like to cover and occasionally, those readings appear below.   I'm also open to teaching anything I've taught before or developing new applied statistical courses.   All material below is in development and readings may change.  

• COURSE: Covariance Structure Modeling

• COURSE:  Factor Analysis (rough sketch - developed some time ago and not updated)

  • On What Kind of Data is Good to Factor Analyze

    1. Curran (1994) Dissertation on Non-Normal Data

    2. West, Curran, and Finch (1995) on Non-Normal Data

    3. Curran, West, and Finch (1999) on Non-Normal Data

• • General Overview

    • Fabrigar, Wegener, MacCallum, & Strahan (1999) on exploratory factor analysis

    • Bryant & Yarnold (1995) on Principal Componets Analysis, Exploratory Factor Analysis, and Confirmatory Factor Analysis

    • Kahn (2006) on factor analysis

• • Principal Components Analysis (PCA) - What it is and why it's not the same as factor analysis, even if it sometimes gets you similar results

    • Hotelling (1933)

    • Keith Widaman presentation on PCA

    • Data for class example PCA

    • Syntax for class example PCA

    • Output for class example PCA

• • Deciding Numbers of Components

    • Parallel Analysis Program

    • O'Conner's (2000) article about the Parallel Analysis Program

    • Restructured PANAS Data Set

    • Articles on Example

      • Watson, Clark, & Tellegen (1988)

      • PANAS-X Manual

    • Syntax to run parallel analysis program on PANAS data

• • Extraction Methods

    • Swain (1975) on factor extractions

    • Non-Iterative Extractions for EFA

      • Albert (1944)

      • Ihara & Kano (1986)

      • Kano (1990a)

      • Kano (1990b)

      • Kano (1991)

      • Cudek (1991)

      • Browne & Tateneni (1997)

• • Exploratory Factor Analysis (EFA)

    • Notes on Eigenvalues and Eigenvectors

    • Factor Analysis Notes

    • Spearman (1904)

    • SPSS Syntax for PANAS EFA

    • SPSS Output from PANAS EFA

    • Browne's Comprehensive Exploratory Factor Analysis (CEFA) Program

    • CEFA Manual

    • Lee (2010) reviewing the CEFA program

    • Input file for PANAS data for CEFA 

    • Command file for PANAS for CEFA (varimax rotation)

    • Output file for PANAS from CEFA

• • Modes of Data Analysis

    • Cattell Chapter on The Data Box

    • Molenaar (1987) on dynamic factor analysis

    • Ferrer & Nesselroade (2003) example on extending P-technique into dynamic factor analysis

    • Russell, Jones, & Miller (2007) on P-technique in psychotherapy process research

• • Standard Errors for Factor Loadings in EFA

    • Rippee (1953)

    • Cliff & Hamburger (1967)

    • Cliff & Pennell (1967)

    • Pennell (1968)

    • Jennrich & Sampson (1966)

    • Pennell (1972)

    • Jennrich (1973)

    • Jennrich & Thayer (1973)

    • Jennrich (1974)

    • Clarkson (1979)

    • Jennrich & Clarkson (1980)

    • Chatterjee (1984)

    • Cudek & O'Dell (1994)

    • Tateneni (1998) dissertation on standard errors in EFA

    • Jamshidian & Jennrich (2002)

    • Zhang, Preacher, & Luo (2010)

• • Rotations

    • Crawford and Ferguson (1970) on factor rotations

    • Browne (2001) on rotation methods

    • SPSS PANAS Data

    • SPSS Syntax for varimax and directly oblimin with kappa = 0 (i.e., quartimax) rotation

    • SPSS Output for rotated factor solutions

    • CEFA Input File

    • CEFA Command File for Crawford-Ferguson (CF) Varimax Rotation

    • CEFA Output File for CF Orthogonal Varimax Rotation

    • CEFA Command File for Targeted Factor Analysis

    • CEFA Output File for Targeted Factor Analysis

    • CEFA Command File for Oblique CF Quartimax

    • CEFA Ouput File for Oblique CF Quartimax Rotation

    • CEFA Command File for Yates's Geomin Rotation

    • CEFA Output File for Yate's Geomin Rotation

• • Confirmatory Factor Analysis (CFA)

    • Structural Equation Modeling Notes

    • Joreskog (1969)

    • Link to the student version of LISREL

    • PANAS Data as .dat file for input

    • LISREL syntax for input - 2 correlated factors

    • LISREL output - 2 correlated factors

    • LISREL model - 2 correlated factors

• • Multigroup CFA

    • Gregorich, S. E. (2006). Do self-report instruments allow meaningful comparisons across diverse population groups? Testing measurement invariance using the confirmatory factor analysis framework. Medical care, 44(11 Suppl 3), S78-S94. (pdf)

• Multilevel Factor Analysis

  • Reise, S. P., Ventura, J., Nuechterlein, K. H., & Kim, K. H. (2005). An illustration of multilevel factor analysis. Journal of Personality Assessment, 84(2), 126-136. (pdf)

• COURSE:   Test Theory

  • 1. Engelhard, G. E., Jr. (1997). Introduction to the section on measurement.Educational Measurement: Issues and Practice, 16(4), 5-7.

    2. Traub, R. E. (1997). Classical test theory in historical perspective. Educational Measurement: Issues and Practice, 16(4), 8-14.

    3. Brennan, R. (1997). A perspective on the history of generalizability theory. Educational Measurement: Issues and Practice, 16(4), 14-20.

    4. Bock, R. D. (1997). A brief history of item response theory.  Educational Measurement: Issues and Practice, 16(4), 21-32.

    5. Wright, B. D (1997). A history of social science measurement. Educational Measurement: Issues and Practice, 16(4), 33-45.

    6. Lu, I. R. R., Thomas, D. R., & Zumbo, B. D. (2005). Embedding IRT in structural equation models: A comparison with regression based on IRT scores. Structural Equation Modeling, 12, 263-277.

    7. Edwards, M. C. (2009). An introduction to item response theory using the need for cognition scale. Social and Personality Psychology Compass 3/4, 507-529. (supplemental files)

    8. Loken, E. & Rulison, K. L. (2010). Estimation of a four-parameter item response theory model. British Journal of Mathematical and Statistical Psychology, 63,509-525.