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Linganisha mbinu

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Uchambuzi wa Kuaminika kwa Ordinal×Uchanganuzi wa Kimfumo wa Uhakiki (CFA)×
NyanjaSaikometrikiSaikometriki
FamiliaLatent structureLatent structure
Mwaka wa asili20071969
MwanzilishiBruno D. Zumbo and colleaguesKarl Gustav Jöreskog
AinaInternal consistency reliability estimationHypothesis-testing latent variable model
Chanzo asiliaZumbo, B. D., Gadermann, A. M. & Zeisser, C. (2007). Ordinal versions of coefficients alpha and theta as measures of internal consistency for Likert rating scales. Journal of Modern Applied Statistical Methods, 6(1), 21–29. DOI ↗Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202. DOI ↗
Majina mbadalaordinal alpha, polychoric reliability, reliability for ordinal scales, ORACFA, confirmatory FA, measurement model, restricted factor analysis
Zinazohusiana54
MuhtasariOrdinal reliability analysis estimates the internal consistency of scales whose items are measured on ordered-category (Likert-type) response formats. By basing computations on polychoric correlations rather than Pearson correlations, it corrects for the attenuation that standard Cronbach's alpha produces when responses are discrete and non-normal.Confirmatory factor analysis tests a researcher-specified factor structure against observed data. Unlike exploratory approaches, the researcher decides in advance which indicators load on which latent factor, and the model is evaluated by how closely the implied covariance matrix reproduces the sample covariance matrix. CFA is central to scale validation, construct validity assessment, and measurement invariance testing.
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  1. v1
  2. 2 Vyanzo
  3. PUBLISHED

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ScholarGateLinganisha mbinu: Ordinal Reliability Analysis · Confirmatory factor analysis. Imepatikana 2026-06-17 kutoka https://scholargate.app/sw/compare