Statistics and Computing Guides
Guides Organized by Software
|R page||Stata page|
|SAS page||Mplus page|
|Git page||LaTeX page|
Material Organized By Topic
We do our best to keep them updated. Feel free to send us a note if there's a topic you would like covered and don't see here.
Structural Equation Modeling/Confirmatory Factor Analysis
Mplus Syntax Guide : An introduction to Mplus syntax.
Monte Carlo Simulation In Mplus : A brief guide that outlines simulation and how to calculate power with Monte Carlo simulation.
Tracing Rules in Structural Equation Modeling: General rules and graphical representations of the tracing rules used to recreate a model-implied covariance matrix from structural equation modeling pathway estimates. Examples include dual loadings, correlated residuals, and tracing rules for means.
Longitudinal Mediation within SEM : Using LISREL and MPLUS to analyze mediation within longitudinal panel models
Latent Variable Moderation: Three techniques to estimate interactions between latent variables using LISREL and MPLUS
Dyadic Analyses in SEM : How to model the Actor-Partner Interdependence Model (APIM) for dyadic data, with both distinguishable (e.g. Mother-Child) and indistinguishable (e.g. Friend A-Friend B) dyads, using LISREL and MPLUS.
Starting Values in LISREL: How to provide start values for individual parameters or whole matrices. This guide also includes a list of start value tips and tricks
The Satorra-Bentler Chi Square: A correction for non-normal data using LISREL
Preparing Path Diagrams
2. A Guide for Installing and Using Dia for SEM Path Diagrams: An easy method for creating path diagrams of latent variable models in the free, open-source graphic design software Dia. Accompanying zip file.
Missing Data, Multiple Imputation and FIML Estimation
Multiple Imputation: How to perform multiple imputation (MI) using SAS, PRELIS or AMELIA
Planned Missingness Study Design: Two methods to developing the study survey versions The introduction includes a brief summary of why a planned missingness study design works, the basic design approach, and the benefits of such designs.
High Performance Computing
Please see the separate pages presented at http://crmda.ku.edu/computing.
NoMachine Connections Tutorial : Use NoMachine is a program available for Windows, Macintosh, and Linux which can be used to streamline the interaction with the high performance computer cluster.
SAS on the Advanced Computing Facility Cluster A Guide for Using SAS in the CRMDA cluster
14: Converting Data To/From SAS: File types: SPSS, Excel, Access, STATA: How to convert data to/from SAS. File types include: SPSS, Excel, Access, STATA