Results 11 to 20 of about 12,669,314 (268)

Assessment of Diagnostics Tools for Sarcopenia Severity Using the Item Response Theory (IRT). [PDF]

J Nutr Health Aging, 2016
To use the item response theory (IRT) methods to examine the degree to which the four selected tools reflect sarcopenia and to arrange them according to their ability to estimate sarcopenia severity.A cross-sectional study aimed at verifying the possibilities of using diagnostic tools for sarcopenia.The study included residents living in an assisted ...
Steffl M, Musalek M, Kramperova V, Petr M, Kohlikova E, Holmerova I, Volicer L.   +6 more
europepmc   +3 more sources

Nonparametric Kernel Smoothing Item Response Theory Analysis of Likert Items

Psych
Likert scales are the most common psychometric response scales in the social and behavioral sciences. Likert items are typically used to measure individuals’ attitudes, perceptions, knowledge, and behavioral changes.
Purya Baghaei, Farshad Effatpanah
doaj   +2 more sources

An IRT forecasting model: linking proper scoring rules to item response theory [PDF]

Judgment and Decision Making, 2017
This article proposes an Item Response Theoretical (IRT) forecasting model that incorporates proper scoring rules and provides evaluations of forecasters’ expertise in relation to the features of the specific questions they answer.
Yuanchao Emily Bo, David V. Budescu, Charles Lewis, Philip E. Tetlock, Barbara Mellers   +4 more
doaj   +4 more sources

Psychometric Properties of the Choosing Wisely Questions in a Large Psychiatric Sample. [PDF]

Int J Methods Psychiatr Res
ABSTRACT Objectives The Choosing Wisely Questions (CWQ) support shared decision‐making and aim to reduce low‐value care, but their psychometric properties remain unclear. This study evaluated the structural validity, reliability, and item characteristics of the Swedish CWQ in a psychiatric sample.
Bengtsson J, Andersson A, Forss Lilja N, Hultgren Farsani I, Lissbrant E, Wettermark B, Blomqvist I.   +6 more
europepmc   +2 more sources

Revisiting reliability and measurement precision: Towards a unified perspective. [PDF]

Br J Math Stat Psychol
Abstract This article revisits the concepts of reliability and measurement precision across classical test theory (CTT), item response theory (IRT) and cognitive diagnosis models (CDMs), emphasizing their conceptual differences and proposing a unified framework.
de la Torre J, Sijtsma K, Kreitchmann RS.   +2 more
europepmc   +2 more sources

py-irt: A Scalable Item Response Theory Library for Python

INFORMS Journal on Computing, 2023
py-irt is a Python library for fitting Bayesian item response theory (IRT) models. At present, there is no Python package for fitting large-scale IRT models. py-irt estimates latent traits of subjects and items, making it appropriate for use in IRT tasks as well as in ideal point models.
John Patrick Lalor, Pedro Rodríguez 0001   +1 more
openaire   +2 more sources

Item Response Theory With Covariates (IRT-C) [PDF]

Educational and Psychological Measurement, 2015
In large-scale testing, the use of multigroup approaches is limited for assessing differential item functioning (DIF) across multiple variables as DIF is examined for each variable separately. In contrast, the item response theory with covariate (IRT-C) procedure can be used to examine DIF across multiple variables (covariates) simultaneously.
Tay, L., Huang, Q., Vermunt, J.K.
openaire   +3 more sources

Implementing Item Response Theory (IRT) Method in Quiz Assessment System [PDF]

TEM Journal, 2022
A quiz is one of the methods to test students’ abilities. Estimation of ability scores can be calculated by using the Classical Test Theory (CTT) and Item Response Theory (IRT) approaches. IRT is more sensitive to item characteristics that can estimate students’ ability. This study implements IRT in a quiz assessment system, compares the results of the
Viska Mutiawani, Al Misky Athaya, Kurnia Saputra, Muhammad Subianto   +3 more
openaire   +1 more source

Item Response Modeling of Forced-Choice Questionnaires [PDF]

, 2011
Multidimensional forced-choice formats can significantly reduce the impact of numerous response biases typically associated with rating scales. However, if scored with classical methodology, these questionnaires produce ipsative data, which lead to ...
Alberto Maydeu-Olivares, Anna Brown, Brown, Anna, Maydeu-Olivares, Alberto   +3 more
core   +1 more source

How IRT can solve problems of ipsative data in forced-choice questionnaires [PDF]

, 2013
In multidimensional forced-choice (MFC) questionnaires, items measuring different attributes are presented in blocks, and participants have to rank-order the items within each block (fully or partially).
Brown, Anna, Maydeu-Olivares, Alberto
core   +1 more source