Results 71 to 80 of about 9,227 (217)
A tutorial for understanding SEM using R: Where do all the numbers come from?
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract Structural equation modeling (SEM) is often seen as a complex and difficult method, especially for those who want to understand how the numbers in SEM software output are actually computed. Although many open‐source SEM tools are now available—especially in the R programming environment—looking into their source code to understand the ...
Yves Rosseel, Marc Vidal
wiley +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
From tetrachoric to kappa: How to assess reliability on binary scales
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract Reliability is crucial in psychometrics, reflecting the extent to which a measurement instrument can discriminate between individuals or items. While classical test theory and intraclass correlation coefficients are well‐established for quantitative scales, estimating reliability for binary outcomes presents unique challenges due to their ...
Sophie Vanbelle
wiley +1 more source
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
Extending reliability to intensive longitudinal data with the Kalman filter
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract Reliability is central to how researchers approach measurement in standard, group‐based analyses of single‐time‐point data, yet this critical aspect is often overlooked in the analysis of repeated observations. Since its inception, reliability has been a between‐person concept, but we redevelop this notion for within‐person designs by ...
Michael D. Hunter
wiley +1 more source
Using multilabel classification neural network to detect intersectional DIF with small sample sizes
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract This study introduces InterDIFNet, a multilabel classification neural network for detecting intersectional differential item functioning (DIF) in educational and psychological assessments, with a focus on small sample sizes. Unlike traditional marginal DIF methods, which often fail to capture the effects of intersecting identities and require ...
Yale Quan, Chun Wang
wiley +1 more source
Applied SciencesQuantitative forecasting and lifecycle pattern recognition of science and technology (S&T) innovation activities are essential for evidence-based technology management, yet modeling long-range dependencies in multivariate S&T time series while capturing ...
Yiran Song +3 more
doaj +1 more source
Regularized reduced rank regression for mixed predictor and response variables
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract In this paper, we introduce the Generalized Mixed Regularized Reduced Rank Regression model (GMR4), an extension of the GMR3 model designed to improve performance in high‐dimensional settings. GMR3 is a regression method for a mix of numeric, binary and ordinal response variables, while also allowing for mixed‐type predictors through optimal ...
Lorenza Cotugno +2 more
wiley +1 more source
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 +3 more
wiley +1 more source
Parallel Vectors Extraction using Bézier Clipping
Computer Graphics Forum, EarlyView.Abstract In this paper, we propose a novel local feature extraction algorithm for the parallel vectors (PV) operator. Our method is based on Bézier clipping, which is a bracketing‐based root finding method that is commonly‐used in computer‐aided geometric design.
Nico Daßler, Tobias Günther
wiley +1 more source