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确定有无重复测量情况下多元回归分析的功效。

Determining the power of multiple regression analyses both with and without repeated measures.

作者信息

Bakeman R, McArthur D

机构信息

Department of Psychology, Georgia State University, Atlanta 30303, USA.

出版信息

Behav Res Methods Instrum Comput. 1999 Feb;31(1):150-4. doi: 10.3758/bf03207705.

Abstract

Power analysis guides researchers in planning how much data to collect. This article describes BW-Power, a computer program for the Windows 95 environment that performs power analyses for research designs that may or may not include both between- and within-subjects factors. We discuss how BWPower easily accommodates both between- and within-subjects factors and provide examples of BWPower's use in performing power analyses on designs with only between-subjects factors, designs with only repeated measures, and with mixed between- and within-subjects designs. We highlight the major features of BWPower's user interface, such as the ability to iteratively increment or decrement the number of subjects and the automatic recalculation of power when the number of subjects or effect sizes is changed.

摘要

功效分析指导研究人员规划要收集多少数据。本文介绍了BW-Power,这是一款适用于Windows 95环境的计算机程序,可对可能包含或不包含组间和组内因素的研究设计进行功效分析。我们讨论了BWPower如何轻松地同时处理组间和组内因素,并提供了BWPower在仅具有组间因素的设计、仅具有重复测量的设计以及混合组间和组内设计上进行功效分析的使用示例。我们突出了BWPower用户界面的主要特征,例如能够迭代地增加或减少受试者数量,以及在受试者数量或效应量改变时自动重新计算功效。

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