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Konfirmatorisk Faktoranalyse for Skalaer×Likert-skala konstruktion×
FagområdePsykometriPsykometri
FamilieProcess / pipelineProcess / pipeline
Oprindelsesår19691932
OphavspersonKarl G. JöreskogRensis Likert
TypeConfirmatory factor analysis methodologySummated rating scale methodology
Oprindelig kildeJöreskog, 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 ↗
AliasserCFA, Confirmatory factor analysis, Path analysis, Structural equation modelingLikert summated rating scale, Summated rating scale construction
Relaterede45
ResuméConfirmatory 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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ScholarGateSammenlign metoder: Confirmatory Factor Analysis for Scales · Likert Scale Construction. Hentet 2026-06-17 fra https://scholargate.app/da/compare