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From |
daniel klein <klein.daniel.81@googlemail.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: calculating alphas with imputed data |

Date |
Thu, 9 Jun 2011 09:27:01 +0200 |

Justina, I think you need to be a little bit more specific about what exactly you mean by "alpha"? Most times I see "alpha" it is used to denote the type I error in NHST. Since this quantity cannot be estimated, I assume you mean something different. However, people use "alpha" to denote the constant in a regression as in y = alpha + betaX +e. It is also known in the context of reliability as Cronbach's alpha and there are probably a lot of other situations where this greek letter is used. Without knowing what it is you want to estimate it is not possible to tell you how you would do it with multiply imputed data. I assume you know the command to estimate "alpha" in non-imputed datasets. I further assume you did check the supported -mi estimate- estimation commands (-help mi estimate-) and did not find the command you are looking for. You may try to use -mi estimate ,cmdok : command- , where comand is the command you would use to estimate "alpha" in non-imputed datasets. If this does not work a good place to start might be here : http://www.stata.com/support/faqs/stat/mi_combine.html Combining point-estimates is relatively straight forward. Simply run the estimation on each dataset and save the results. The mean of those results is the MI-Estimator. Best Daniel * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**Follow-Ups**:**Re: st: calculating alphas with imputed data***From:*Justina Kamiel Grayman <justina.grayman@nyu.edu>

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