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Janssen item response theory (irt)
Item Response Theory (Irt), supplied by Janssen, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/item+response+theory+(irt)/hierarchical+irt+model/pmc10108817-75-5-9
Average 90 stars, based on 1 article reviews
item response theory (irt) - by Bioz Stars, 2026-09
90/100 stars

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Article Title: Ability Tests Measure Personality, Personality Tests Measure Ability: Disentangling Construct and Method in Evaluating the Relationship between Personality and Ability
Article Snippet: Debeer, Buchholz, Hartig, and Janssen [ ] (see also [ , ]) examined data from the low-stakes Program for International Student Assessment (PISA) 2009 reading assessment ( N = 460,000+, 65 countries), using an item-response theory (IRT) model that included item position effects, which enabled modeling test-taker effort (i.e., less susceptibility to item position is assumed to indicate more [consistent] effort).

Article Title: Item Position Effects Are Moderated by Changes in Test-Taking Effort
Article Snippet: Several methodological studies have recently examined item position effects in an item response theory (IRT) framework ( Albano, 2013 ; Debeer & Janssen, 2013 ; Hahne, 2008 ; Hohensinn et al., 2008 ; Hohensinn, Kubinger, Reif, Schleicher, & Khorramdel, 2011 ; Meyers, Miller, & Way, 2009 ; Qian, 2014 ; Schweizer, Schreiner, & Gold, 2009 ; Weirich, Hecht, & Böhme, 2014 ).

Article Title: Predicting examinee performance based on a fuzzy cloud cognitive diagnosis framework in e-learning environment
Article Snippet: Some classical CDMs, e.g., the item response theory (IRT) (Janssen et al. ) and the Deterministic Input, Noisy And-gate (DINA) model (Torre ), have been applied widely.

Article Title: A Generalized Model With Internal Restrictions on Item Difficulty for Polytomous Items
Article Snippet: In this study, the authors extend the standard item response model with internal restrictions on item difficulty (MIRID) to fit polytomous items using cumulative logits and adjacent-category logits.. Moreover, the new model incorporates discrimination parameters and is rooted in a multilevel framework.. It is a nonlinear mixed model so that existing parameter estimation procedures and computer packages for nonlinear mixed models can be directly adopted to estimate the parameters.



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