Results 71 to 80 of about 14,062,107 (346)
A Penalty Approach to Differential Item Functioning in Rasch Models [PDF]
, 2012 A new diagnostic tool for the identification of differential item functioning (DIF) is proposed. Classical approaches to DIF allow to consider only few subpopulations like ethnic groups when investigating if the solution of items depends on the ...
Tutz, Gerhard, Schauberger, Gunther
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Alternative estimation approaches for some common Item Response Theory models [PDF]
, 2011 textIn this report we give a brief introduction to Item Response Theory models and multilevel models. The general assumptions of two classical Item Response Theory, 1PL and 2PL models are discussed.
Sabouri, Pooneh, 1980-
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Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Chronic micro‐inflammation in patients with end‐stage renal disease (ESRD) is a significant driver of cardiovascular complications and diminished quality of life. While standard hemodialysis (SHD) effectively manages small‐molecule clearance, its ability to remove medium‐to‐large uremic toxins—the primary catalysts of systemic ...
Hongwei Zuo +5 more
wiley +1 more source
The Estimation of Item Response Models with the lmer Function from the lme4 Package in R [PDF]
In this paper we elaborate on the potential of the lmer function from the lme4 package in R for item response (IRT) modeling. In line with the package, an IRT framework is described based on generalized linear mixed modeling. The aspects of the framework
Ivailo Partchev +6 more
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Nonparametric Item Response Models: A Comparison on Recovering True Scores
Psico-USFNonparametric procedures are used to add flexibility to models. Three nonparametric item response models have been proposed, but not directly compared: the Kernel smoothing (KS-IRT); the Davidian-Curve (DC-IRT); and the Bayesian semiparametric Rasch ...
Vithor Rosa Franco +2 more
doaj +1 more source
Frontiers in Psychology, 2020 How to detect faking on personality measures has been investigated using various methods and procedures. As previous findings are mixed and rarely based on ideal point item response theory models, additional research is needed for further exploration ...
Jie Liu, Jie Liu, Jinfu Zhang
doaj +1 more source
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Introduction This final analysis of a multicenter, prospective postmarketing surveillance study evaluated the safety of daprodustat in patients with chronic kidney disease anemia in routine clinical practice in Japan. Methods Patients who initiated daprodustat between September 2020 and July 2022 were registered.
Tadao Akizawa +7 more
wiley +1 more source
Marginal Maximum Likelihood Estimation of Item Response Models in R [PDF]
Item response theory (IRT) models are a class of statistical models used by researchers to describe the response behaviors of individuals to a set of categorically scored items.
Matthew S. Johnson
core
Forced Choice Assessment of Work Related Maladaptive Personality Traits: Preliminary Evidence from an Application of Thurstonian Item Response Modeling [PDF]
, 2016 This article describes an investigation of whether Thurstonian item response modeling is a viable method for assessment of maladaptive traits. Forced-choice responses from 420 working adults to a broad-range personality inventory assessing six ...
Cooper, Andrew J. +3 more
core +1 more source
The Estimation of Item Response Models with the lmer Function from the lme4 Package in R
Journal of Statistical Software, 2011 In this paper we elaborate on the potential of the lmer function from the lme4 package in R for item response (IRT) modeling. In line with the package, an IRT framework is described based on generalized linear mixed modeling. The aspects of the framework
Paul De Boeck +6 more
doaj