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ERIC Number: ED410277
Record Type: Non-Journal
Publication Date: 1997-Mar
Pages: 21
Abstractor: N/A
Reference Count: N/A
Demystification of Hierarchical Linear Model Using SAS PROC MIXED.
Wang, Jianjun
Hierarchical data analyses in different discipline areas are reviewed in this article to compare statistical applications between the Hierarchical Linear Model (HLM) software and the Statistical Analysis System (SAS) MIXED procedure. Similar features of the two software programs are illustrated through reconfirmation of an HLM example using the MIXED procedure. Because SAS is a standard statistical package with a much larger group of users, discussions of the shared features in statistical computing may present additional options to demystify the existing methods for hierarchical data analyses. It is concluded that the SAS program can reproduce most results of HLM. Comparison also uncovers some potential "p" value computation problems with HLM. An appendix presents an SAS program to confirm an HLM example. (Contains 5 tables and 21 references.) (Author/SLD)
Publication Type: Numerical/Quantitative Data; Reports - Evaluative; Speeches/Meeting Papers
Education Level: N/A
Audience: N/A
Language: English
Sponsor: California State Univ., Bakersfield.
Authoring Institution: N/A