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척도를 위한 확인적 요인 분석×리커트 척도 구성×
분야심리측정학심리측정학
계열Process / pipelineProcess / pipeline
기원 연도19691932
창시자Karl G. JöreskogRensis Likert
유형Confirmatory factor analysis methodologySummated rating scale methodology
원전Jöreskog, 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 ↗
별칭CFA, Confirmatory factor analysis, Path analysis, Structural equation modelingLikert summated rating scale, Summated rating scale construction
관련45
요약Confirmatory 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.
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