قارن الطرق

	تحليل الشرط الضروري	نمذجة المعادلات البنائية الاستكشافية
المجال	القياس النفسي	القياس النفسي
العائلة	Latent structure	Latent structure
سنة النشأة	2016	2009
صاحب الطريقة	Jan Dul	Tihomir Asparouhov, Bengt Muthén
النوع	Set-theoretic configurational analysis	Hybrid exploratory-confirmatory factor modeling
المصدر التأسيسي	Dul, J. (2016). Necessary Condition Analysis (NCA): Logic and methodology of "necessary but not sufficient" causality. Organizational Research Methods, 19(1), 10-52.	Asparouhov, T., & Muthén, B. (2009). Exploratory structural equation modeling. Structural Equation Modeling, 16(3), 397-438.
الأسماء البديلة	NCA	ESEM
ذات صلة	5	5
الملخص	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.	Exploratory Structural Equation Modeling (ESEM) is a hybrid approach that combines exploratory factor analysis (EFA) with confirmatory factor analysis (CFA) and path modeling, developed by Asparouhov and Muthén (2009). ESEM relaxes restrictive zero-loading assumptions of traditional CFA, allowing all indicators to load on all factors, which can reveal cross-factor complexity and improve model fit while retaining the ability to test substantive structural theories.