Jason T. Newsom PhD

Professor, Department of Psychology, Portland State University

 

 

 

 

 

Main Page

 

Current Courses

Univariate Quant

Multivariate Quant

Categorical Data Analysis

Structural Equation Modeling

Multilevel Regression

Psychological Measurement

Adult Development and Aging

 

Past Courses

Stats Notes

 

Resources

SEM References

SEM Books

 

Other

LSEM Book

LDA Book

Department of Psychology

 

 

 

 

 

 

Data Sets

 

Note: Data sets may be random samples or otherwise randomly altered for additional anonymity. Findings will generally be consistent with those from the actual study data but should not be published or otherwise reported as results from the study. I will only post current quarter data sets.

 

Structural Equation Modeling

 

Lab Data

NPHS data random subset: nphs 1994.sav.  See the handout “Lab Data Set: NPHS” for details. Raw data file: nphs 1994.dat. Input for Mplus: nphs 1994.inp.  Lab example files: nphs 1994, path.inp, nphs 1994 path.R, nphs 1994 cfa.inp, nphs 1994 cfa.R.  Longitudinal data: Vigorous activity and health data: vigact.dat, vigact.R, vigact.inp

 

HW2

Second version of aging and control data set: agingcontrol2.dat, agingcontrol2b.sav.  There are no missing values. Variables are tab delimited (use free format):  sleep, effort, getgo, enjoy, hopeful, energy, strenex (in that order).

 

HW3

Third version of aging and control data set: agingcontrol3.dat, Mplus input: agingcontrol3.inp, agingcontrol3.sav, R code: agingcontrol3.R.  ECLS data set: ecls.dat, Mplus input: ecls.inp, ecls.sav, R code: ecls.R.