Results 81 to 90 of about 18,517 (245)
Abstract The stationary autoregressive model forms an important base of time‐series analysis in today's psychology research. Diverse nonstationary extensions of this model are developed to capture different types of changing temporal dynamics. However, researchers do not always have a solid theoretical base to rely on for deciding a‐priori which of ...
Yong Zhang +4 more
wiley +1 more source
From tetrachoric to kappa: How to assess reliability on binary scales
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
Power priors for latent variable mediation models under small sample sizes
Abstract Latent variable models typically require large sample sizes for acceptable efficiency and reliable convergence. Appropriate informative priors are often required for gainfully employing Bayesian analysis with small samples. Power priors are informative priors built on historical data, weighted to account for non‐exchangeability with the ...
Lihan Chen +2 more
wiley +1 more source
Abstract Although individuals may exhibit both gradual and abrupt changes in their dynamic properties as shaped by both slowly accumulating influences and acute events, existing statistical frameworks offer limited capacity for the simultaneous detection and representation of these distinct change patterns.
Yanling Li +3 more
wiley +1 more source
Latent Poisson count models for action count data from technology‐enhanced assessments
Abstract Recent advances in computerized assessments have enabled the use of innovative item formats (e.g., drag‐and‐drop, scenario‐based), necessitating a flexible model that can capture systematic influence of item types on action counts. In this study, we present a refinement scheme that can explicitly model common features of items and allows ...
Gregory Arbet, Hyeon‐Ah Kang
wiley +1 more source
Frequentist against Bayesian statistics: tug of war! [PDF]
Abhijit Nair
doaj +1 more source
Background and Purpose Network meta‐analysis (NMA) enables the simultaneous comparison of multiple treatments by combining direct and indirect evidence across a network of studies. While its application is rapidly expanding in pharmacological research and clinical guideline development, performing NMA typically requires advanced statistical knowledge ...
János Tibor Fekete +2 more
wiley +1 more source
ABSTRACT Objectives To evaluate the accuracy of static, dynamic, and robotic computer‐assisted protocols in immediate implant placement (IIP), compared to freehand (FH) techniques. Materials and Methods A systematic search was conducted for studies published through March 2025.
Paolo Nava +5 more
wiley +1 more source
Implementing errors on errors: Bayesian vs frequentist
When combining apparently inconsistentexperimental results, one often implements errors on errors. The Particle Data Group’s phenomenological prescription offers a practical solution but lacks a firm theoretical foundation.
Satoshi Mishima, Kin-ya Oda
doaj +1 more source
Abstract Objective To examine how sleep and movement behaviours, measured on smartphones via ecological momentary assessment (EMA), GPS and accelerometer, impact subsequent daily mood in people with type 2 diabetes (T2D) compared to those without. Methods Sixty‐one participants with (n = 32) and without (n = 29) T2D underwent 2 months of smartphone ...
Amy M. McInerney +3 more
wiley +1 more source

