Using SAS PROC MIXED To Demystify the Hierarchical Linear Model

IF 2.2 4区教育学 Q1 Social Sciences

Journal of Experimental Education Pub Date : 1997-01-01 DOI:10.1080/00220979709601397

Jianjun Wang

引用次数: 14

Abstract

Abstract Hierarchical data analyses in different disciplines are reviewed to compare statistical applications of the Hierarchical Linear Model (HLM) software and the SAS MIXED procedure. Similar features of the 2 programs are illustrated through use of the SAS MIXED procedure to confirm an HLM example. The SAS is a standard statistical package with a large group of users; discussions of the shared features in statistical computing may identify options to demystify existing methods for analyzing hierarchical data.

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利用SAS PROC mix对层次线性模型进行解秘

摘要综述了不同学科的分层数据分析，比较了分层线性模型(HLM)软件和SAS MIXED程序的统计应用。通过使用SAS mix程序来确认一个HLM实例，说明了这两个程序的相似特性。SAS是一个拥有大量用户的标准统计软件包;对统计计算中共享特征的讨论可以确定各种选项，以消除分析分层数据的现有方法的神秘性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Experimental Education Multiple-

CiteScore

6.70

自引率

0.00%

发文量

期刊介绍： The Journal of Experimental Education publishes theoretical, laboratory, and classroom research studies that use the range of quantitative and qualitative methodologies. Recent articles have explored the correlation between test preparation and performance, enhancing students" self-efficacy, the effects of peer collaboration among students, and arguments about statistical significance and effect size reporting. In recent issues, JXE has published examinations of statistical methodologies and editorial practices used in several educational research journals.