Results 171 to 180 of about 4,055 (251)

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

A multi-component hybrid model for renewable energy integrated grid power load forecasting: DWT, SAE, and FA-LSTM. [PDF]

Sci Rep
Peng S, Zhu J.
europepmc   +1 more source

Estimating the reliability of round‐robin judgments with social relations confirmatory factor analyses

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract The social relations model (SRM) is commonly used in psychological research to analyse interdependent data from round‐robin designs, where all members of a group rate each other. Based on the recently suggested social relations confirmatory factor analysis (SR‐CFA), we present general formulas for determining the reliability of composites of ...
Steffen Nestler, Oliver Lüdtke, Alexander Robitzsch   +2 more
wiley   +1 more source

Identifying the significant drivers of containerized freight rates: From the perspective of dynamic multiscale dependence. [PDF]

PLoS One
Chen Y, Feng A, Tang C.
europepmc   +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, Mark de Rooij, Roberta Siciliano   +2 more
wiley   +1 more source

Lobe-wise cognitive load detection using empirical Fourier decomposition and optimized machine learning. [PDF]

Front Physiol
Chervitha K, Sharma LD.
europepmc   +1 more source

Multidimensional unipolar IRT and applications to the measurement of print exposure

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Item response theory (IRT) has been a prominent modelling framework in educational and psychological measurement. Traditional IRT models are bipolar, commonly assuming symmetric measurement link functions and symmetric trait distributions over a latent continuum unbounded at both ends. However, many measured constructs, such as print exposure,
Qi (Helen) Huang, Daniel M. Bolt
wiley   +1 more source

Forecasting of interval carbon price in China based on decomposition-reconstruction-ensemble framework. [PDF]

Carbon Balance Manag
Hu B, Cheng Y.
europepmc   +1 more source

Revisiting reliability and measurement precision: Towards a unified perspective

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract This article revisits the concepts of reliability and measurement precision across classical test theory (CTT), item response theory (IRT) and cognitive diagnosis models (CDMs), emphasizing their conceptual differences and proposing a unified framework.
Jimmy de la Torre, Klaas Sijtsma, Rodrigo Schames Kreitchmann   +2 more
wiley   +1 more source

DG-LLM: Decomposition-based dynamic graph adaptation of large language models for spatiotemporal traffic forecasting. [PDF]

PLoS One
Tabassum S, Nower N.
europepmc   +1 more source