Results 251 to 260 of about 1,506,998 (305)

Sample size determination for hypothesis testing on the intraclass correlation coefficient in a two‐way analysis of variance model

open access: yesBritish Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Reliability evaluation is critical in fields such as psychology and medicine to ensure accurate diagnosis and effective treatment management. When participants are evaluated by the same raters, a two‐way ANOVA model is suitable to model the data, with the intraclass correlation coefficient (ICC) serving as the reliability metric.
Dipro Mondal   +3 more
wiley   +1 more source

Bayesian inference for dynamic Q matrices and attribute trajectories in hidden Markov diagnostic classification models

open access: yesBritish Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Hidden Markov diagnostic classification models capture how students' cognitive attributes evolve over time. This paper introduces a Bayesian Markov chain Monte Carlo algorithm for diagnostic classification models that jointly estimates time‐varying Q matrices, latent attributes, item parameters, attribute class proportions and transition ...
Chen‐Wei Liu
wiley   +1 more source

Bias and precision in true‐score estimation

open access: yesBritish 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

Computation of topological relations with 3-SRM. [PDF]

open access: yesSci Rep
Totad NP, Sajjanshettar GM, Aithal PK.
europepmc   +1 more source

Estimation of comparable standardized mean differences in cluster randomized trials with covariate adjustment

open access: yesBritish Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Standardized mean differences (SMDs) are widely used to quantify treatment effects in cluster‐randomized trials. However, covariate adjustment in hierarchical linear models reduces the residual variance components used for standardization, which artificially inflates effect size estimates and undermines comparability across studies. We propose
Juyoung Jung   +2 more
wiley   +1 more source

Connections between the basic local independence model and true and error models in the study of preference

open access: yesBritish Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Two classes of probabilistic models are compared: the true and error (TE) type models and models in the family of the basic local independence model (BLIM). The former finds applications in the study of human preference, whereas the latter has been developed within the theory of knowledge structures with the aim of producing knowledge ...
Luca Stefanutti   +2 more
wiley   +1 more source

Home - About - Disclaimer - Privacy