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Nonparametric Kernel Smoothing Item Response Theory Analysis of Likert Items
PsychLikert 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
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Advances in Nonparametric Item Response Theory for Scale Construction in Quality-of-Life Research [PDF]
Quality of Life Research, 2022 AbstractWe introduce the special section on nonparametric item response theory (IRT) in Quality of Life Research. Starting from the well-known Rasch model, we provide a brief overview of nonparametric IRT models and discuss the assumptions, the properties, and the investigation of goodness of fit.
Klaas Sijtsma +2 more
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Investigating the Ordering Structure of Clustered Items Using Nonparametric Item Response Theory [PDF]
Educational and Psychological MeasurementEducational and psychological tests with an ordered item structure enable efficient test administration procedures and allow for intuitive score interpretation and monitoring. The effectiveness of the measurement instrument relies to a large extent on the validated strength of its ordering structure.
Johan Braeken, Letty Koopman
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Assumptions and Properties of Two-Level Nonparametric Item Response Theory Models [PDF]
PsychometrikaAbstractNonparametric item response theory (IRT) models consist of assumptions that restrict the joint item-score distribution. These assumptions imply stochastic ordering properties that allow ordering of respondents and items using the simple sum score and item mean score, respectively, and imply observable data properties that are useful for ...
Bonne J H Zijlstra +2 more
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Theoretical and Practical Foundations of Mokken Scale Analysis in Psychology [PDF]
Paidéia (Ribeirão Preto), 2022 Item Response Theory represents one of the major advances in the field of developing valid and reliable measures in psychology. Among the main models used in this perspective are the Rasch model and the logistic models.
Víthor Rosa Franco +2 more
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Visualizing Items and Measures: An Overview and Demonstration of the Kernel Smoothing Item Response Theory Technique [PDF]
Tutorials in Quantitative Methods for Psychology, 2020 The current demonstration was conducted to familiarize a broader audience of applied researchers in psychology and social sciences with the benefits of an exploratory psychometric technique -- kernel smoothing item response theory (KSIRT). A data-driven,
Rajlic, Gordana
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Language Testing in Asia, 2022 Listening comprehension in English, as one of the most fundamental skills, has an essential role in the process of learning English. Non-parametric item Response Theory (NIRT) is a probabilistic-nonparametric approach to item response theory (IRT) which ...
Hamed Ghaemi
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International Journal of Assessment Tools in Education, 2021 In the current study, the factor structure of an attitude scale was analyzed by using the two different item response theory models that allow modeling non-monotonic item response curves.
Ezgi Mor Dirlik, Seval Kartal
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Evaluating Model Fit in Two-Level Mokken Scale Analysis
Psych, 2023 Currently, two-level Mokken scale analysis for clustered test data is being developed. This paper contributes to this development by providing model-fit procedures for two-level Mokken scale analysis.
Letty Koopman +2 more
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Item response theory evaluation of the biomedical scale of the Pain Attitudes and Beliefs Scale. [PDF]
PLoS ONE, 2018 OBJECTIVES:The assessment of health care professionals' attitudes and beliefs towards musculoskeletal pain is essential because they are key determinants of their clinical practice behaviour.
Alessandro Chiarotto +6 more
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