Bandingkan metode

	Pengujian Invariansi Pengukuran Ordinal	Analisis Faktor Konfirmatori (CFA)
Bidang	Psikometri	Psikometri
Keluarga	Latent structure	Latent structure
Tahun asal	1984–2011	1969
Pencetus	Roger Millsap; Bengt Muthén	Karl Gustav Jöreskog
Tipe	Multi-group model comparison	Hypothesis-testing latent variable model
Sumber perintis	Millsap, R. E. (2011). Statistical Approaches to Measurement Invariance. Routledge. ISBN: 978-1848728936	Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202.
Alias	ordinal MI, measurement invariance for ordinal data, ordinal CFA invariance, categorical measurement invariance	CFA, confirmatory FA, measurement model, restricted factor analysis
Terkait	6	4
Ringkasan	Ordinal measurement invariance testing evaluates whether a multi-group confirmatory factor model holds equivalent measurement properties across groups when scale items are ordinal — such as Likert-type response scales. It uses polychoric correlations and categorical estimators (WLSMV/DWLS) rather than Pearson-based methods, correcting the systematic bias that arises when ordinal data are treated as continuous.	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.