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系数α概述以及用于评估心理研究测量中内部一致性系数充分性的信度矩阵。

An overview of coefficient alpha and a reliability matrix for estimating adequacy of internal consistency coefficients with psychological research measures.

作者信息

Ponterotto Joseph G, Ruckdeschel Daniel E

机构信息

Division of Psychological and Educational Services, Room 1008, Fordham University at Lincoln Center, 113 West 60th Street, New York, NY 10023-7478, USA.

出版信息

Percept Mot Skills. 2007 Dec;105(3 Pt 1):997-1014. doi: 10.2466/pms.105.3.997-1014.

Abstract

The present article addresses issues in reliability assessment that are often neglected in psychological research such as acceptable levels of internal consistency for research purposes, factors affecting the magnitude of coefficient alpha (alpha), and considerations for interpreting alpha within the research context. A new reliability matrix anchored in classical test theory is introduced to help researchers judge adequacy of internal consistency coefficients with research measures. Guidelines and cautions in applying the matrix are provided.

摘要

本文探讨了心理研究中常被忽视的可靠性评估问题,例如研究目的可接受的内部一致性水平、影响α系数(阿尔法系数)大小的因素以及在研究背景下解释α系数的注意事项。引入了一种基于经典测试理论的新可靠性矩阵,以帮助研究人员判断研究测量中内部一致性系数的充分性。并提供了应用该矩阵的指导方针和注意事项。

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