SPSS和SAS程序解决相互依存和基本水平的分析问题,在心理数据。

Brian P O'Connor
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引用次数: 41

摘要

每当从来自同一群体、家庭、教室、工作组或其他交互单元的多人收集个人级别的数据时,就会出现分析级别问题。来自同一相互作用单位的个人数据的相互依赖也违反了作为常用统计检验基础的观察独立性假设。本文描述了这些问题所带来的数据分析挑战,并介绍了SPSS和SAS程序进行适当的分析。这些程序进行了Dansereau、Alutto和Yammarino(1984)描述的内部和之间分析,以及Gonzalez和Griffin(1999)和Griffin和Gonzalez(1995)描述的二元水平分析。然后讨论了与一般多级建模程序的对比。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SPSS and SAS programs for addressing interdependence and basic levels-of-analysis issues in psychological data.

Levels-of-analysis issues arise whenever individual-level data are collected from more than one person from the same dyad, family, classroom, work group, or other interaction unit. Interdependence in data from individuals in the same interaction units also violates the independence-of-observations assumption that underlies commonly used statistical tests. This article describes the data analysis challenges that are presented by these issues and presents SPSS and SAS programs for conducting appropriate analyses. The programs conduct the within-and-between-analyses described by Dansereau, Alutto, and Yammarino (1984) and the dyad-level analyses described by Gonzalez and Griffin (1999) and Griffin and Gonzalez (1995). Contrasts with general multilevel modeling procedures are then discussed.

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