Results 141 to 150 of about 44,820 (294)

Asymptotic standard errors for reliability coefficients in item response theory

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract In a recent review, Liu et al. (Psychological Methods, 2025b) classified reliability coefficients into two types: classical test theory (CTT) reliability and proportional reduction in mean squared error (PRMSE). This article focuses on quantifying the sampling variability of these coefficients under item response theory (IRT) models.
Youjin Sung, Yang Liu
wiley   +1 more source

WS21.3 Cystic fibrosis newborn screening protocols (IRT/IRT and IRT/DNA) comparison

Journal of Cystic Fibrosis, 2012
Kusova, Z., Kashirskaya, N., Petrova, N., Vasilyeva, T., Kapranov, N.   +4 more
openaire   +1 more source

Approximating multidimensionality with asymmetric unidimensional IRT models

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Unidimensional item response theory (IRT) models are widely used even in settings where assessment data exhibit subtle forms of multidimensionality. Recent empirical evidence suggests that when item difficulty is associated with dimensionality, asymmetric item characteristic curves (ICCs) emerge in the unidimensional approximation.
Xiangyi Liao, Yinqiu He, Daniel Bolt, James Soland, Carlin Conner, Emily J. Solari   +5 more
wiley   +1 more source

Prediction of coronary artery disease based on facial temperature information captured by non-contact infrared thermography

BMJ Health & Care Informatics
Background Current approaches for initial coronary artery disease (CAD) assessment rely on pretest probability (PTP) based on risk factors and presentations, with limited performance.
Chang Liu, Yan Zhao, Zhe Zheng, Xuexin Yu, Shen Lin, Xiaoting Su, Minghui Kung, Juntong Zeng, Mengnan Shi, Runchen Sun, Shangyuan Yuan, Xiaocong Lian, Xiangyang Ji   +12 more
doaj   +1 more source

WS10.3 CF newborn screening in Austria: after 20 years changing the algorithm from IRT/IRT to IRT/PAP/IRT

Journal of Cystic Fibrosis, 2018
S. Renner, A. Schanzer, T. Metz, Z. Szépfalusi, M. Zeyda   +4 more
openaire   +1 more source

Composite marginal likelihood estimation of higher‐order diagnostic classification models under high dimensionality

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Although full‐information maximum likelihood (FIML) estimation is widely used for diagnostic classification models (DCMs), its computational efficiency deteriorates sharply in high‐dimensional settings. This scalability challenge is increasingly critical as DCMs are applied to large‐scale assessments, psychological testing and longitudinal ...
Minho Lee, Yon Soo Suh
wiley   +1 more source

4. Übung (14.11.2017): Raschmodell einer IRT [PDF]

, 2017
Seminarinhalte: Basiswissen: Standardabweichung und Standardfehler; Raschmodell der Item-Response-Theorie; IRT- Interpretation selbsterzeugter Daten; IRT- Schätzung theoretischer ...
Carl, Maria, Multimediazentrum
core  

Bias and precision in true‐score estimation

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract We discuss two approaches to estimating the true score from classical test theory, each with a corresponding measure of uncertainty due to measurement error: the classical method with the standard error of measurement (SEM) and Kelley's method with the standard error of estimation (SEE).
L. Andries van der Ark, Wilco H. M. Emons, Jules L. Ellis, Klaas Sijtsma   +3 more
wiley   +1 more source

Refining effect size measures and classification for differential item functioning: Toward unified guidelines across methods

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Differential Item Functioning (DIF) analysis is used to identify potentially biased items in multi‐item measurements. In addition to testing the statistical significance, it is essential to evaluate the practical significance of DIF through effect size measures.
Michaela Cichrová, Adéla Hladká, Patrícia Martinková   +2 more
wiley   +1 more source

Mixture multigroup structural equation modelling for ordinal data

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Social scientists often compare groups in terms of relations between latent variables (LV) (i.e. structural relations) using Structural Equation Modelling (SEM). LVs are measured indirectly by questionnaires; thus, measurement invariance must be evaluated before comparisons can be made. To efficiently compare many groups, the recently proposed
Andres F. Perez Alonso, Jeroen K. Vermunt, Yves Rosseel, Kim De Roover   +3 more
wiley   +1 more source