Some data tricks
Alcoholism Symptoms
Simulated data fo SEM
Attitudes towards Illness
Concerns with genetic testing data
Self Esteem Data
Data extracted from "Political Action: An eight nation study" at http://www.icpsr.umich.edu/ used in Skrondal Rabe-Hesketh Chapter 10.3
Path model for quality of life data
Data from: Romney DM, Jenkings, D and Bynner JM (1992) A structural analysis of health related quality of life dimensions, Human Relations, 45(2) 165-176. The data example in this paper is also used and presented in Kline Section 6.4 page 151-156. The input correlation matrix is below.
- Correlation matrix Excel file 5 variables measuring neurological dysfunction, diminished SES, low morale, symptoms of illness, and poor relationships.
Myocardial infarction testing data (from Rindskopf D and Rindskopf W (1986) "The value of latent class analysis in Medical diagnosis", Statistics in Medicine, 5, 21-27.)
Negative Affectivity DATA (from Vassend and Skrondal (1999) "The role of negative affectivity in self-assessmetn of heatlh", Journal of Health Psychology, 4(4), 465-482.)
Women's Mobility data (from BSMG Chapter 7 page 203)
School Work subjects data (from BSMG Chapter 5 and 6)
Simulated data - Factor model
Minnesota county census data
KLINE Latent Growth Example 10.5.
This data comes from page 275 of Kline and originally came from Duncan and Duncan (1996). It is a sample of 321 adolescents surveyed over 4 years and the data indicate alcohol use with higher scores related to higher alcohol use. The last two variables are covariates and represent gender (0=male, 1=female) and family status (0=single parent home, 1=two-parent home)
- The data to read into Mplus - kline10.5.txt
- An Mplus program to do latent growth model
Data from Hatcher Investment Model Questionnair p. 60, data from appendix p. 567
Intelligence test - exploratory factor analysis
Body Satisfaction Data
Visual Spatial Abilities - confirmatory factor analysis
- README file for visread data
- visread_withcommas.csv This is a comma delimited
text version of the data (readable by AMOS)
- visread.txt This is a space delimited
text version of the data (easily readable by SAS)
- visread.xls This is an Excel file of
the data. If you use Internet
Explorer you should be able to save this file to your own machine
and then use it as is. If you are using Netscape, you will find
that once you save it (through Netscape) it is not readable by
Excel. A way to avoid this problem...Don't even use an
internet browser, that is, from Excel it is possible to Open a file
that is located at an http address. To do this, click on the Web
Toolbar in Excel and then at the new entry line type in
http://www.biostat.umn.edu/~melanie/PH5470/DATA/visread.xls. This
should read in my visread.xls file. Now at this point, you can save
it in any way you like from Excel. For a more detailed explanation
of this, see http://www.biostat.umn.edu/excel.shtml
- basic SAS program for exploratory
factor analysis
- tauequiv1.amw tauequiv2.amw Here are two AMOS programs related to the Homework #3 problem 2.
Exercise and Illness
Marital Conflict Management
- Instructions for LAB
- marital.csv This is a comma delimited
text version of the correlation matrix found in the paper "Marital Conflict Management Skills, parenting style, and early onset conduct Problems: Processes and Pathways" by Webster-Stratton, C. and Hammond, M., J. Child Psychol. Psychiat. Vol 40, No. 6, pp. 917-927, 1999. It is the correlation matrix for Mothers responses.
DIETING DATA - from Project EAT
- eatdata3mplus.csv, eatdata3.xls This is a sample of raw data from the Project EAT study.
There are 801 observations and 12 variables (1 of which is the
grouping variable gender). The last 3 variables are scales derived for the latent variables weight concern, psychological well being, and unhealthy dieting.
Parent Health related norms
- eatdata.dat
This is a sample of raw data from Project EAT. There are 2060 observations for the girls in the study.
- parentformplusdemo.inp This is a program in Mplus to perform LCA on the mom's data.
Master example from Macready and Dayton (reprinted in BK)
Example from BK. Macready and Dayton (1977) "The use of probabilistic models in the assessment of mastery". 4 questions where each one is coded as a binary outcome.
- bart.dat The raw data. There are a total of 142 observations.
- mix1.inp An Mplus program to run the 2 latent class model.
Example from Heinen page 46. 5 questions about women's liberation. Each one coded as a binary outcome.
- p46heinen.csv The raw data. There are a total of 1134 observations.
- latclass.inp An Mplus program to run the 3 latent class model
Guttman example:
Using the p46heinen.csv data, fit a Guttman scale model.
Here's the MPLUS program. guttmanscalewith4vars
Two latent variable, two class model examples.
-
Originally from Goodman (1974) "Exploratory latent structure analysis using both identifiable and unidentifiable models", Biometrika, 61, 215-231. This program is from the MPLUS examples home page mix14.inp. It reads in the data from coleman.dat
- Originally from Muthen (2001) "Latent variable mixture modeling" In G.A. Marcoulides and Schumacker (eds.) New Developments and Techniques in Structural Equation Modeling (pp. 1-33). This program is from the MPLUS examples home page mplusapp5.inp. It reads in the data from asb.dat