Results 171 to 180 of about 5,853 (227)
Abstract Psychological concepts are increasingly understood as complex dynamic systems that change over time. To study these complex systems, researchers are increasingly gathering intensive longitudinal data (ILD), revealing non‐linear phenomena such as asymptotic growth, mean‐level switching, and regulatory oscillations.
Jan I. Failenschmid +3 more
wiley +1 more source
A Novel Fixed-Time Super-Twisting Control with I&I Disturbance Observer for Uncertain Manipulators. [PDF]
Xu L, Zhang J, Yin C, Dai R.
europepmc +1 more source
Abstract Generalizability theory (G‐theory) defines a statistical framework for assessing measurement reliability by decomposing observed variance into meaningful components attributable to persons, facets, and error. Classic G‐theory assumes homoscedastic residual variances across measurement conditions, an assumption that is often violated in ...
Philippe Rast, Peter E. Clayson
wiley +1 more source
Bielecki-Ulam stability of a hammerstein-type difference system. [PDF]
Rahmat G +5 more
europepmc +1 more source
ReMoDe – Recursive modality detection in distributions of ordinal data
Abstract The detection of the number of modes in distributions of ordinal data is relevant for applied researchers across disciplines, from uncovering polarization to detecting incidence groups in clinical symptom scales. Yet, established modality detection methods are either purely descriptive or not developed for ordinal data.
Madlen Hoffstadt +3 more
wiley +1 more source
Fractional order effects on solitary waves and chaotic regimes in the mKdV Burgers equation. [PDF]
Islam MA, Rimu NN, Dey P.
europepmc +1 more source
Extending reliability to intensive longitudinal data with the Kalman filter
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
Lyapunov theory demonstrating a fundamental limit on the speed of systems consolidation. [PDF]
Alemi A, Aksay ERF, Goldman MS.
europepmc +1 more source
Using multilabel classification neural network to detect intersectional DIF with small sample sizes
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

