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BMC Medical Research Methodology, 2017 Background The use of health-related quality of life (HRQoL) as an endpoint in cancer clinical trials is growing rapidly. Hence, research into the statistical approaches used to analyze HRQoL data is of major importance, and could lead to a better ...
Antoine Barbieri +5 more
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Modeling Multiple Item Context Effects With Generalized Linear Mixed Models
Frontiers in Psychology, 2019 Item context effects refer to the impact of features of a test on an examinee's item responses. These effects cannot be explained by the abilities measured by the test. Investigations typically focus on only a single type of item context effects, such as
Norman Rose +6 more
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Explanatory IRT Analysis Using the SPIRIT Macro in SPSS [PDF]
Tutorials in Quantitative Methods for Psychology, 2018 Item Response Theory (IRT) is a modeling framework that can be applied to a large variety of research questions spanning several disciplines. To make IRT models more accessible for the general researcher, a free tool has been created that can easily ...
DiTrapani, Jack +2 more
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Comparison of Item Response Theory Test Equating Methods for Mixed Format Tests
International Online Journal of Educational Sciences, 2016 Article History: Received 30.10.2015 Received in revised form 25.12.2015 Accepted 09.01.2016 Available online 26.02.2016 This study aims to investigate the performance of test equating methods extended to mixed-format tests within the framework of Item Response Theory (IRT).
İbrahim Uysal, Sevilay Kilmen
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Item Response Theory approaches to test scoring and evaluating the score accuracy [PDF]
, 2018 The ultimate goal of psychometric testing is to produce a score by which people can be differentiated. Item Response Theory (IRT) devises methods for estimating person’s score on one or more psychological constructs (traits) from his/her responses to ...
Anna Brown, Brown, Anna
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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 +3 more
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The Measurement of Subjective Well-Being: Item Response Theory, Classical Test Theory, and Multidimensional Item Response Theory [PDF]
, 2022 For over 35 years, modern science has conceptualized happiness as subjective well-being, which has until recently been understood as a dual construct consisting of an affective component (positive and negative affect) and a cognitive component (life ...
Ali, Al Nima
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A structural equation modeling approach for examining position effects in large-scale assessments
Large-scale Assessments in Education, 2017 Position effects may occur in both paper–pencil tests and computerized assessments when examinees respond to the same test items located in different positions on the test.
Okan Bulut, Qi Quo, Mark J. Gierl
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School-level inequality measurement based categorical data: a novel approach applied to PISA
Large-scale Assessments in Education, 2021 This paper introduces a new method to measure school-level inequality based on Item Response Theory (IRT) models. Categorical data collected by large-scale assessments poses diverse methodological challenges hinder measuring inequality due to data ...
Lucas Sempé
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Item Response Modeling of Paired Comparison and Ranking Data [PDF]
, 2010 The comparative format used in ranking and paired comparisons tasks can significantly reduce the impact of uniform response biases typically associated with rating scales.
Alberto Maydeu-Olivares +3 more
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