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From |
Anthony Fulginiti <fulginitipsy@yahoo.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
st: Significance Tests for Individual Random Effect Parameters/Variance Components in Hierarchical Linear Modeling |

Date |
Thu, 7 Feb 2013 13:18:02 -0800 (PST) |

Hello Everyone, At first, I was somewhat hesitant to post this question thinking that perhaps I have overlooked the obvious (which still may be the case). In the end, I have grown weary of searching so pose this question to you. I was working on a manuscript a few months ago using hierarchical linear modeling to examine group differences in self-esteem over time. During the manuscript preparation, I was reviewing many articles and books using hierarchical linear modeling and noticed that results for individual random effect parameters/variance components were usually accompanied by a chi-square/z statistic and a specific probability value. However, in the STATA output, the random effect parameters are listed with an estimate, standard error and 95% confidence interval but no such chi-square/z statistic or specific probability value. Is there a way for STATA to produce such a statistic/probability value (via conducting significance tests) for the individual random effect parameters? If so, how? Thanks in advance for your feedback! Respectfully, Anthony * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/faqs/resources/statalist-faq/ * http://www.ats.ucla.edu/stat/stata/

**Follow-Ups**:**Re: st: Significance Tests for Individual Random Effect Parameters/Variance Components in Hierarchical Linear Modeling***From:*Maarten Buis <maartenlbuis@gmail.com>

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