পদ্ধতির তুলনা করুন

	SIBTEST	DINA মডেল	নেসেসারি কন্ডিশন অ্যানালাইসিস (Necessary Condition Analysis)
ক্ষেত্র	মনোমিতি	মনোমিতি	মনোমিতি
পরিবার	Latent structure	Latent structure	Latent structure
উদ্ভবের বছর	1993	2001	2016
প্রবর্তক	Richard Shealy, William F. Stout	Brian Junker, Klaas Sijtsma	Jan Dul
ধরন	Differential item functioning (DIF) assessment	Discrete latent class model	Set-theoretic configurational analysis
মৌলিক উৎস	Shealy, R., & Stout, W. F. (1993). A model-based standardization approach that separates true bias/DIF from group differences and detects test bias/DTF. Psychometrika, 58(2), 159-194.	Junker, B. W., & Sijtsma, K. (2001). Cognitive assessment models with few assumptions, and connections with nonparametric item response theory. Applied Psychological Measurement, 25(3), 258-272.	Dul, J. (2016). Necessary Condition Analysis (NCA): Logic and methodology of "necessary but not sufficient" causality. Organizational Research Methods, 19(1), 10-52.
অপর নাম	—	DINA	NCA
সম্পর্কিত	5	4	5
সারসংক্ষেপ	SIBTEST (Simultaneous Item Bias Test) is a non-parametric method for detecting differential item functioning (DIF) and differential test functioning (DTF) developed by Shealy and Stout (1993). Unlike parametric approaches, SIBTEST does not assume a particular item response model and directly tests whether groups differ in their probability of correct responses at equal levels of overall ability.	The DINA Model (Deterministic Inputs, Noisy Outputs) is a cognitive diagnostic model developed by Junker and Sijtsma (2001) that classifies examinees into latent skill classes based on their item response patterns. DINA assumes a deterministic relationship between skill mastery and correct responses, with probabilistic error accounting for guessing and slips.	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.