Krahasoni metodat

	Analiza e Kushteve të Nevojshme	Modelimi Eksplorativ i Ekuacioneve Strukturore
Fusha	Psikometri	Psikometri
Familja	Latent structure	Latent structure
Viti i origjinës	2016	2009
Krijuesi	Jan Dul	Tihomir Asparouhov, Bengt Muthén
Lloji	Set-theoretic configurational analysis	Hybrid exploratory-confirmatory factor modeling
Burimi themelues	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.
Emërtime të tjera	NCA	ESEM
Të lidhura	5	5
Përmbledhja	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.