心理学
克朗巴赫阿尔法
明尼苏达多相人格量表
结构效度
构造(python库)
比例(比率)
可靠性(半导体)
人格
一致性(知识库)
社会心理学
心理测量学
经典测试理论
考试(生物学)
焦虑
人格测验
临床心理学
统计
项目反应理论
测试有效性
数学
精神科
古生物学
几何学
程序设计语言
功率(物理)
物理
生物
量子力学
计算机科学
标识
DOI:10.1207/s15327752jpa8003_01
摘要
One of the central tenets of classical test theory is that scales should have a high degree of internal consistency, as evidenced by Cronbach's a, the mean interitem correlation, and a strong first component. However, there are many instances in which this rule does not apply. Following Bollen and Lennox (1991), I differentiate between questionnaires such as anxiety or depression inventories, which are composed of items that are manifestations of an underlying hypothetical construct (i.e., where the items are called effect indicators) and those such as Scale 6 of the Minnesota Multiphasic Personality Inventory (Hathaway & McKinley, 1943) and ones used to tap quality of life or activities of daily living in which the items or subscales themselves define the construct (these items are called causal indicators). Questionnaires of the first sort, which are referred to as scales in this article, meet the criteria of classical test theory, whereas the second type, which are called indexes here, do not. I discuss the implications of this difference for how items are selected, the relationship among the items, and the statistics that should and should not be used in establishing the reliability of the scale or index.
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