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Pemodelan Persamaan Struktural Kuasa Dua Separa×Analisis Keperluan Asas×
BidangPsikometrikPsikometrik
KeluargaLatent structureLatent structure
Tahun asal19852016
PengasasHerman WoldJan Dul
JenisComponent-based structural equation modelSet-theoretic configurational analysis
Sumber perintisHair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) (2nd ed.). Sage Publications. ISBN: 9781483377445Dul, J. (2016). Necessary Condition Analysis (NCA): Logic and methodology of "necessary but not sufficient" causality. Organizational Research Methods, 19(1), 10-52. DOI ↗
AliasPLS-SEM, PLS path modelingNCA
Berkaitan55
RingkasanPLS-SEM is a variance-based approach to structural equation modeling developed by Herman Wold (1985) that estimates latent variable models by maximizing the variance explained in dependent variables. Unlike covariance-based SEM, PLS-SEM is particularly useful for exploratory research, small to medium samples, complex models with many constructs, and non-normal data.Necessary Condition Analysis (NCA) is a set-theoretic method developed by Dul (2016) that identifies conditions necessary (but not necessarily sufficient) for an outcome to occur. Unlike regression, which estimates average effects, NCA identifies absolute thresholds: conditions that must be present at a certain level for the outcome to be possible, regardless of other factors.
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ScholarGateBandingkan kaedah: Partial Least Squares Structural Equation Modeling · Necessary Condition Analysis. Dicapai 2026-06-17 daripada https://scholargate.app/ms/compare