Porovnať metódy

	SIBTEST	Kognitívne diagnostické adaptívne testovanie pomocou počítača	Analýza nevyhnutných podmienok
Odbor	Psychometria	Psychometria	Psychometria
Rodina	Latent structure	Latent structure	Latent structure
Rok vzniku	1993	2007	2016
Tvorca	Richard Shealy, William F. Stout	Xueli Xu, Jean-Paul Fox	Jan Dul
Typ	Differential item functioning (DIF) assessment	Skill-adaptive testing with psychometric diagnostic classification	Set-theoretic configurational analysis
Pôvodný zdroj	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.	Choi, K. M., Lee, Y. S., & Park, Y. S. (2015). What CDM can tell about examinees' strengths and weaknesses: Cognitive diagnostic information in TIMSS. Journal of Educational Evaluation for Policy Analysis, 24(1), 79-100.	Dul, J. (2016). Necessary Condition Analysis (NCA): Logic and methodology of "necessary but not sufficient" causality. Organizational Research Methods, 19(1), 10-52.
Ďalšie názvy	—	CD-CAT	NCA
Príbuzné	5	5	5
Zhrnutie	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.	Cognitive Diagnostic Computerized Adaptive Testing (CD-CAT) combines computerized adaptive testing (CAT) with cognitive diagnostic models (CDMs) to efficiently assess students' specific skill profiles. Rather than producing a single overall ability score, CD-CAT adaptively selects items to quickly identify which skills a student has mastered and which need development.	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.