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量表验证性因子分析×李克特量表构建×
领域心理测量学心理测量学
方法族Process / pipelineProcess / pipeline
起源年份19691932
提出者Karl G. JöreskogRensis Likert
类型Confirmatory factor analysis methodologySummated rating scale methodology
开创性文献Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183-202. DOI ↗Likert, R. (1932). A technique for the measurement of attitudes. Archives of Psychology, 22(140), 1-55. link ↗
别名CFA, Confirmatory factor analysis, Path analysis, Structural equation modelingLikert summated rating scale, Summated rating scale construction
相关45
摘要Confirmatory Factor Analysis (CFA) is a statistical method for testing whether a hypothesized factorial structure fits empirical data. Developed by Karl G. Jöreskog in 1969, CFA is the standard approach for validating psychometric scales by evaluating whether items load onto theoretically specified latent factors as expected. Unlike exploratory factor analysis, CFA requires a priori specification of the factor structure and provides goodness-of-fit indices to assess model adequacy.Likert scale construction is a systematic methodology for developing attitude measurement instruments using summated rating scales. Introduced by Rensis Likert in 1932, it enables researchers to quantify latent constructs such as attitudes, beliefs, and psychological states by aggregating responses across multiple items. The method remains foundational to quantitative social and health sciences research.
ScholarGate数据集
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  1. v1
  2. 3 来源
  3. PUBLISHED

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ScholarGate方法对比: Confirmatory Factor Analysis for Scales · Likert Scale Construction. 于 2026-06-18 检索自 https://scholargate.app/zh/compare