نتایج جستجو برای: 1 irt models 2 differential item functioning 3 high
تعداد نتایج: 6641935 فیلتر نتایج به سال:
BACKGROUND Performance on psychometric tests is key to diagnosis and monitoring treatment of dementia. Results are often reported as a total score, but there is additional information in individual items of tests which vary in their difficulty and discriminatory value. Item difficulty refers to an ability level at which the probability of responding correctly is 50%. Discrimination is an index ...
There is considerable need for accurate suicide risk assessment for clinical, screening, and research purposes. This study applied the tripartite affect-behavior-cognition theory, the suicidal barometer model, classical test theory, and item response theory (IRT), to develop a brief self-report measure of suicide risk that is theoretically-grounded, reliable and valid. An initial survey (n = 35...
PURPOSE The purpose of this study was to calibrate the items for the Communicative Participation Item Bank (CPIB; Baylor, Yorkston, Eadie, Miller, & Amtmann, 2009; Yorkston et al., 2008) using item response theory (IRT). One overriding objective was to examine whether the IRT item parameters would be consistent across different diagnostic groups, thereby allowing creation of a disorder-generic ...
Rationale In order to avoid response bias such as agreement bias or acquiescence, it was a common recommendation that both positively-and negatively-worded items should be included in survey that the practice of using positively-and negatively-worded items may introduce systematic measurement errors that disrupt analyses and interpretations of the results (DiStefano & Motl, 2006; Quilty, Oakman...
The Community Reintegration of Injured Service Members (CRIS) measure consists of three scales measuring extent of, perceived limitations in, and satisfaction with community reintegration. Length of the CRIS may be a barrier to its widespread use. Using item response theory (IRT) and computer-adaptive test (CAT) methodologies, this study developed and evaluated a briefer community reintegration...
This Monte Carlo study assessed Type I error in differential item functioning analyses using Lord’s chi-square (LC), Likelihood Ratio Test (LRT), and Mantel-Haenszel (MH) procedure. Two research interests were investigated: response theory (IRT) model specification LC the LRT continuity correction MH enhances literature by investigating correct incorrect model-data fit comparing those results t...
Researchers commonly apply item response theory (IRT) models to binary and ordinal items in order to measure an underlying trait using a collection of observed responses to test questions or items. For binary items, a common IRT model is the two parameter logistic (2PL) form. Assume that we have observed p item responses for n individuals where a correct responses is designated with a ’1’ and a...
The National Institutes of Health Patient-Reported Outcomes Measurement Information System (PROMIS; trademarked by the National Institutes of Health) Roadmap initiative (available at www.nihpromis.org) is a cooperative research program designed to develop, evaluate, and standardize item banks to measure patient-reported outcomes across different medical conditions as well as the US population (...
Penelitian ini adalah penelitian empirik dengan tujuan untuk mengetahui (1) karakteristik tes UAS kelas VI Sekolah Dasar yang dianalisis pendekatan Item Response Theory (IRT), (2) perbandingan tingkat daya beda butir (IRT) . dilakukan di Negeri 1 Megati berada Kabupaten Tabanan pengambilan data menggunakan teknik stratified random sampling. Karakteristik disusun software Winsteps. Hasil analisi...
The authors discuss the applicability of nonparametric item response theory (IRT) models to the construction and psychometric analysis of personality and psychopathology scales, and they contrast these models with parametric IRT models. They describe the fit of nonparametric IRT to the Depression content scale of the Minnesota Multiphasic Personality Inventory--2 (J. N. Butcher, W. G. Dahlstrom...
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