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runmlwin: A Program to Run the MLwiN Multilevel Modeling Software from within Stata

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  • Leckie, George
  • Charlton, Chris

Abstract

We illustrate how to fit multilevel models in the MLwiN package seamlessly from within Stata using the Stata program runmlwin. We argue that using MLwiN and Stata in combination allows researchers to capitalize on the best features of both packages. We provide examples of how to use runmlwin to fit continuous, binary, ordinal, nominal and mixed response multilevel models by both maximum likelihood and Markov chain Monte Carlo estimation.

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  • Leckie, George & Charlton, Chris, 2013. "runmlwin: A Program to Run the MLwiN Multilevel Modeling Software from within Stata," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 52(i11).
    • Handle: RePEc:jss:jstsof:v:052:i11
    DOI: http://hdl.handle.net/10.18637/jss.v052.i11
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    1. Timothy Johnson, 2008. "J. DE LEEUW & E. MEIJER (2007). Handbook of multilevel analysis. New York: Springer. xiii+494 pp. US$199. ISBN:978-0-387-73183-4," Psychometrika, Springer;The Psychometric Society, vol. 73(3), pages 523-525, September.
    2. Carpenter, James R. & Goldstein, Harvey & Kenward, Michael G., 2011. "REALCOM-IMPUTE Software for Multilevel Multiple Imputation with Mixed Response Types," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 45(i05).
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