Results 71 to 80 of about 12,669,314 (268)

Only Your Mind Sets the Limits: Socio‐Cognitive Pathways between Growth Mindset and Reading Achievement Across Nordic and Chinese Educational Systems

British Journal of Educational Psychology, EarlyView.
Abstract Background Mindset theory has increasingly shifted from asking whether growth mindsets predict achievement to asking how, for whom, and under what conditions beliefs about intelligence become motivationally consequential. Aims This study contributes to that theoretical shift by examining mindset as a distal belief embedded within a broader ...
Kajsa Yang Hansen, Jelena Radišić, Anna‐Carin Jonsson   +2 more
wiley   +1 more source

Item response theory and the measurement of deprivation: Evidence from PSELL-3 [PDF]

Item Response Theory (IRT) has recently been proposed as a framework to measure deprivation. It allows deriving a latent measure of deprivation from a set of dichotomous observed items of deprivation and analyzing determinants of deprivation.
Fusco, Alessio, Raileanu Szeles, Monica
core  

BUGS Code for Item Response Theory [PDF]

, 2010
I present BUGS code to fit common models from item response theory (IRT), such as the two parameter logistic model, three parameter logisitic model, graded response model, generalized partial credit model, testlet model, and generalized testlet models. I
Curtis, S. McKay
core   +1 more source

IRT‐based response style models and related methodology: Review and commentary

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract We provide a review and commentary on recent methodological research related to item response theory (IRT) modelling of response styles in psychological measurement. Our review describes the different categories of IRT models that have been proposed, their associated assumptions and extensions, and the varying purposes they can serve.
Daniel M. Bolt, Lionel Meng
wiley   +1 more source

The Impact of Ignoring Multilevel Data Structure on the Estimation of Dichotomous Item Response Theory Models

International Journal of Assessment Tools in Education, 2019
Applyingsingle-level statistical models to multilevel data typically producesunderestimated standard errors, which may result in misleading conclusions.This study examined the impact of ignoring multilevel data structure on theestimation of item ...
Hyung Rock Lee, Sunbok Lee, Jaeyun Sung
doaj   +1 more source

An extension of the basic local independence model to multiple observed classifications

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract The basic local independence model (BLIM) is appropriate in situations where populations do not differ in the probabilities of the knowledge states and the probabilities of careless errors and lucky guesses of the items. In some situations, this is not the case. This work introduces the multiple observed classification local independence model
Pasquale Anselmi, Debora de Chiusole, Egidio Robusto, Alice Bacherini, Giulia Balboni, Andrea Brancaccio, Ottavia M. Epifania, Noemi Mazzoni, Luca Stefanutti   +8 more
wiley   +1 more source

Enhancing Measurement Precision of Patient-Reported Outcomes Using Item Response Theory

Inquiry: The Journal of Health Care Organization, Provision, and Financing
Accurate assessment of patient-reported outcomes (PROs) is essential for informing clinical decision-making and guiding health policy. Item Response Theory (IRT) enhances measurement by providing detailed evidence on item discrimination, difficulty ...
Simon Ntumi PhD, Lawrence Larbi Sakyi MPhil, Tapela Bulala PhD, Divine Agbovor MPhil, Gabriel Odame Amfo MPhil, John Gabla MPhil, Rudi Anakwa MPhil, Emmanuel Ohene Amezah MPhil   +7 more
doaj   +1 more source

Markov Chain Monte Carlo Estimation of Normal Ogive IRT Models in MATLAB [PDF]

Modeling the interaction between persons and items at the item level for binary response data, item response theory (IRT) models have been found useful in a wide variety of applications in various fields. This paper provides the requisite information and
Yanyan Sheng
core  

Differential item functioning detection across multiple groups

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Differential item functioning (DIF) can be investigated by estimating item response theory (IRT) parameters separately for different respondent groups, thus allowing for the detection of discrepancies in parameter estimates across groups. However, before comparing the estimates, it is necessary to convert them to a common metric due to the ...
Michela Battauz
wiley   +1 more source

Evaluating Problematic Smartphone Use Among Chinese Primary School Students Using SABAS: An IRT and Network Analysis

International Journal of Methods in Psychiatric Research
Objectives This study assessed the psychometric properties of the Smartphone Application‐Based Addiction Scale (SABAS) among Chinese primary school students, focusing on validity, reliability, and factor structure using Item Response Theory (IRT) and ...
Siyang Liu, Qian Chen, Jiayang Li, Yimeng Zhu, Xiaorong Guo, Xin Zhao   +5 more
doaj   +1 more source