文章基本信息

标题：Teaching GLM Concepts: Explicating the Connections
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作者：Susan Troncoso Skidmore
期刊名称：Journal of Methods and Measurement in the Social Sciences
电子版ISSN：2159-7855
出版年度：2015
卷号：6
期号：2
页码：42-59
DOI：10.2458/v6i2.18802
出版社：University of Arizona Libraries
摘要：The purpose of the present paper is to encourage textbook authors, quantitative instructors, curriculum writers, and software developers to move away from the use of isolated apparently disconnected analyses and instead move towards the use of the general linear model as a foundational framework for graduate level statistics training.It is argued that an understanding of modeling, simple linear equations, and commonly used analogous statistical terms will facilitate students understanding of frequently used parametric analyses.Additionally, this holistic approach will equip students with the necessary preparatory skills to understand newer analytical approaches.Three heuristic examples are provided.
其他摘要：The purpose of the present paper is to encourage textbook authors, quantitative instructors, curriculum writers, and software developers to move away from the use of isolated apparently disconnected analyses and instead move towards the use of the general linear model as a foundational framework for graduate level statistics training. It is argued that an understanding of modeling, simple linear equations, and commonly used analogous statistical terms will facilitate students understanding of frequently used parametric analyses. Additionally, this holistic approach will equip students with the necessary preparatory skills to understand newer analytical approaches. Three heuristic examples are provided. DOI:10.2458/azu_jmmss_v6i2_skidmore
关键词：General Linear Model; quantitative training; statistical modeling
其他关键词：General Linear Model; quantitative training; statistical modeling