Bandingkan kaedah

	Ujian Keseimbangan Ukuran yang Teguh (Robust Measurement Invariance Testing)	Pemodelan Persamaan Struktural (SEM)
Bidang	Psikometrik	Statistik
Keluarga	Latent structure	Latent structure
Tahun asal	1994	1970
Pengasas	Albert Satorra & Peter M. Bentler	Karl Jöreskog (LISREL framework, 1970s)
Jenis	Measurement invariance test with robust corrections	Latent variable / causal modeling
Sumber perintis	Satorra, A. & Bentler, P. M. (1994). Corrections to test statistics and standard errors in covariance structure analysis. In A. von Eye & C. C. Clogg (Eds.), Latent variables analysis: Applications for developmental research (pp. 399–419). Sage.	Hair, J. F., Black, W. C., Babin, B. J. & Anderson, R. E. (2019). Multivariate Data Analysis (8th ed.). Cengage Learning. ISBN: 978-1473756540
Alias	robust MI testing, robust measurement equivalence, non-normal measurement invariance, robust multi-group CFA invariance	Yapısal Eşitlik Modellemesi (SEM), structural equation modelling, covariance structure analysis, latent variable modeling
Berkaitan	3	5
Ringkasan	Robust measurement invariance testing evaluates whether a psychometric instrument measures the same latent construct in the same way across groups when observed data violate multivariate normality. It adapts standard multi-group CFA sequences by replacing ordinary chi-square statistics with robust alternatives such as the Satorra-Bentler scaled statistic, yielding trustworthy conclusions about factor loadings, intercepts, and residual variances even with skewed or ordinal data.	Structural equation modeling is a multivariate statistical framework that simultaneously estimates a measurement model — relating observed indicators to latent constructs — and a structural model specifying directional or reciprocal relationships among those constructs. Rooted in the LISREL tradition developed by Karl Jöreskog in the 1970s, SEM is the standard tool for testing complex theoretical models in the social, behavioural, and management sciences.