Notice: On March 31, it was **announced** that Statalist is moving from an email list to a **forum**. The old list will shut down on April 23, and its replacement, **statalist.org** is already up and running.

[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]

From |
Justina Kamiel Grayman <justina.grayman@nyu.edu> |

To |
statalist@hsphsun2.harvard.edu |

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

Date |
Thu, 9 Jun 2011 09:21:02 -0400 |

Yes, I did check the mi estimate's supported commands and calculating the cronbach's alpha (scale reliability) is not supported. i also tried using mi estimate, cmdok: alpha, but it returned an error. below is my syntax and the error message . mi estimate, cmdok: alpha bs3c1 bs3c3 bs3c4 bs3c6 bs3c7 bs3c8 bs3c9 if knowlmle<82.6 matrix e(b) is not set matrix e(V) is not set r(301); On Thu, Jun 9, 2011 at 3:27 AM, daniel klein <klein.daniel.81@googlemail.com> wrote: > 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/ > -- Justina Kamiel Grayman Doctoral Student, Psychology & Social Intervention New York University * * 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/

**References**:**Re: st: calculating alphas with imputed data***From:*daniel klein <klein.daniel.81@googlemail.com>

- Prev by Date:
**Re: st: attaching text and tables to graphs** - Next by Date:
**Re: st: How to model a positive continuous dependent variable with many zeros?** - Previous by thread:
**Re: st: calculating alphas with imputed data** - Next by thread:
**Re: st: calculating alphas with imputed data** - Index(es):