FAQ: How do I perform multiple imputation using predictive mean matching in R?

What's new in June, 2013

R

• FAQ: How do I analyze survey data with a simple random sample design?
• FAQ: How do I analyze survey data with a stratified design with certainty PSUs?
• FAQ: How do I analyze survey data with a one-stage cluster design?
• FAQ: How do I analyze survey data with a probability proportional to size sampling design?
• FAQ: How do I analyze survey data with a stratified random sampling design?
• FAQ: How do I analyze survey data with a systematic sample design?
• FAQ: How do I analyze survey data with a repeated systematic sample design?
• FAQ: How do I analyze survey data with a stratified random sampling with allocation to strata design?
• FAQ: How do I analyze survey data with stratification after sampling (poststratification)?
• FAQ: How can I do ratio estimation with survey data?
• FAQ: How can I do regression estimation with survey data?

Stata

• FAQ: How can I overlay two histograms?
• FAQ: How can I make a correlation matrix heat map?

What's new in May, 2013

Stata

• FAQ: Linear growth models: xtmixed vs sem

What's new in March, 2013

SPSS

• FAQ: How can I graph the predicted values from the fixed part of my mixed command?
• FAQ: How can I calculate time at dropout?

Stata

• FAQ: How can I read dates with both 2-digit and 4-digit year?

What's new in February, 2013

Stata

• FAQ: How can I do multilevel principal components analysis?
• DAE: Mixed Effects Logistic Regression
• FAQ: How can I compute predictive margins for xtmelogit with random effects?
• FAQ: How can I compute indirect effects with imputed data? (Method 2)
• FAQ: How can I compute indirect effects with imputed data? (Method 1)
• FAQ: How can I estimate effect size for xtmixed?

What's new in January, 2013

Stata

• Class: Repeated Measures Analysis with Stata
• FAQ: How can I do moderated mediation with a categorical moderator using sem?
• FAQ: How can I get Monte Carlo standard errors for indirect effects?

R

• Data Analysis Example: Mixed Effects Logistic Regression