Results 101 to 110 of about 12,669,314 (268)
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract Cognitive diagnostic models (CDMs) have become essential tools for providing fine‐grained information about individuals' mastery of cognitive skills. While prior reviews have emphasized statistical foundations and deep learning‐based developments, this article focuses on recent methodological innovations designed to address persistent ...
Chun Wang, Yale Quan, David Arthur
wiley +1 more source
mirt: A Multidimensional Item Response Theory Package for the R Environment
Journal of Statistical Software, 2012 Item response theory (IRT) is widely used in assessment and evaluation research to explain how participants respond to item level stimuli. Several R packages can be used to estimate the parameters in various IRT models, the most flexible being the ltm ...
R. Philip Chalmers
doaj
Brain and BehaviorNomophobia, or the anxiety of being separated from one's mobile phone, is an emerging psychological condition in our digital age. The 20‐item Nomophobia Questionnaire (NMP‐Q) was developed to assess nomophobia symptoms.
Haitham Jahrami +10 more
doaj +1 more source
Validity and reliability evidence for the scale of distance education satisfaction of medical students based on item response theory (IRT). [PDF]
BMC Med Educ, 2022 Toraman Ç, Karadağ E, Polat M.
europepmc +1 more source
Multilevel IRT Modeling in Practice with the Package mlirt [PDF]
Variance component models are generally accepted for the analysis of hierarchical structured data. A shortcoming is that outcome variables are still treated as measured without an error.
Jean-Paul Fox
core
Item response theory for weighted summed scores [PDF]
, 2009 Tests composed of multiple sections are routinely weighted by section. Methods for weighting have existed perhaps as long as there have been tests; however, computing and evaluating the quality of weights has not evolved with recent advances in test ...
Stucky, Brian Dale
core +1 more source
Multidimensional unipolar IRT and applications to the measurement of print exposure
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract Item response theory (IRT) has been a prominent modelling framework in educational and psychological measurement. Traditional IRT models are bipolar, commonly assuming symmetric measurement link functions and symmetric trait distributions over a latent continuum unbounded at both ends. However, many measured constructs, such as print exposure,
Qi (Helen) Huang, Daniel M. Bolt
wiley +1 more source
Evaluation of covariate effects in item response theory models
CPT: Pharmacometrics & Systems PharmacologyItem response theory (IRT) models are usually the best way to analyze composite or rating scale data. Standard methods to evaluate covariate or treatment effects in IRT models do not allow to identify item‐specific effects.
Gustaf J. Wellhagen +7 more
doaj +1 more source
Using item response theory (IRT) to improve the efficiency of the Simple Clinical Colitis Activity Index (SCCAI) for patients with ulcerative colitis. [PDF]
BMC Gastroenterol, 2021 Walsh A +9 more
europepmc +1 more source
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract Traditional item response theory (IRT) models involve symmetric response probability functions, but a developing area of research has focused on asymmetric alternatives. To date, these studies have focused primarily on introducing new asymmetric models, detailing their mathematical formulations, explaining how to interpret their item ...
Hyejin Shim, Wes Bonifay
wiley +1 more source