Salīdzināt metodes

	Krombaha alfa koeficienta vietā Makdonalda omega (ω)	Korelatīvās faktoru analīzes (KFA)	Kronbaha alfa (Reliability Analysis)	Eksploratīvā faktoru analīze (EFA)
Nozare	Psihometrija	Statistika	Statistika	Statistika
Saime	Latent structure	Latent structure	Latent structure	Latent structure
Izcelsmes gads	1999	1969	1951	—
Autors	Roderick P. McDonald	Karl Jöreskog	Lee J. Cronbach	—
Tips	Reliability coefficient / latent variable model	Confirmatory latent variable model	Reliability / internal consistency coefficient	Latent variable / dimension reduction
Pirmavots	McDonald, R. P. (1999). Test Theory: A Unified Treatment. Lawrence Erlbaum Associates. ISBN: 978-0805830750	Brown, T. A. (2015). Confirmatory Factor Analysis for Applied Research (2nd ed.). The Guilford Press. ISBN: 978-1462515363	Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297–334.	Fabrigar, L. R., Wegener, D. T., MacCallum, R. C. & Strahan, E. J. (1999). Evaluating the use of exploratory factor analysis in psychological research. Psychological Methods, 4(3), 272–299.
Citi nosaukumi	omega reliability, ω coefficient, omega total, omega hierarchical	Doğrulayıcı Faktör Analizi (CFA), confirmatory factor analysis, measurement model	coefficient alpha, alpha reliability, internal consistency reliability, Güvenilirlik Analizi (Cronbach Alpha)	common factor analysis, açımlayıcı faktör analizi, factor analysis
Saistītās	6	4	4	4
Kopsavilkums	McDonald's omega is a factor-analysis-based reliability coefficient introduced by Roderick P. McDonald (1999) that quantifies the internal consistency of a composite score without requiring the restrictive assumption that all items contribute equally to the latent factor. It yields two complementary indices: ω_total, which captures overall reliability of the sum score, and ω_hierarchical (ωh), which reports how much of the composite's variance is explained specifically by a single general factor.	Confirmatory factor analysis tests whether a researcher-specified factor structure fits the observed data. Formalised by Karl Jöreskog in 1969, it is the measurement-model step within structural equation modelling and is the standard tool for validating the factorial structure of scales and questionnaires before comparing groups or estimating latent relationships.	Cronbach's alpha is a coefficient of internal consistency that quantifies the degree to which a set of items on a scale measures the same underlying construct. Introduced by Lee J. Cronbach in 1951, it remains the most widely reported reliability index in social-science, health, and educational research.	Exploratory factor analysis reduces a large set of observed variables into a smaller number of latent common factors. It is widely used in scale development and psychometrics to uncover the dimensional structure that underlies a set of correlated items, without specifying that structure in advance.