Results 111 to 120 of about 15,975 (254)
International Journal of Eating Disorders, EarlyView.ABSTRACT Objective This study aimed to assess the structural validity and readability of a brief 7‐item version of the Eating Disorder Examination Questionnaire (the EDE‐Q7) among adolescents. Method Latent variable analysis was used in a sample of 263 adolescents (age range = 13–17.99y) diagnosed with an eating disorder and recruited from treatment ...
Paul E. Jenkins +7 more
wiley +1 more source
Acta Universitatis Lodziensis. Folia Oeconomica, 2014 The aim of this paper is to evaluate the spatial and hierarchical models for data generating processes with spatial heterogeneity and spatial dependence at the higher level.
Edyta Łaszkiewicz
doaj
Robustness of Phylogenetic Inference to Model Misspecification Caused by Pairwise Epistasis. [PDF]
Mol Biol Evol, 2021 Magee AF, Hilton SK, DeWitt WS.
europepmc +1 more source
Case‐Mix Adjustment of Multidimensional Patient‐Reported Outcomes to Assess Hospital Performance
Health Economics, EarlyView.ABSTRACT Multidimensional patient‐reported outcome measures (PROMs) are increasingly used to compare the performance of health care providers. Meaningful comparisons require the data to be adjusted for differences in case‐mix. The common approach in the literature is to aggregate PROM data into univariate summary scores prior to case‐mix adjustment. In
Nils Gutacker, Yuanyuan Gu
wiley +1 more source
Editorial: Evidential Statistics, Model Identification, and Science
Frontiers in Ecology and Evolution, 2022 Mark L. Taper +3 more
doaj +1 more source
Machine Learning: Science and TechnologySimulation-based inference (SBI) offers a principled and flexible framework for conducting Bayesian inference in any situation where forward simulations are feasible.
James Alvey +2 more
doaj +1 more source
Using recurrent neural network to estimate irreducible stochasticity in human choice behavior
eLifeTheoretical computational models are widely used to describe latent cognitive processes. However, these models do not equally explain data across participants, with some individuals showing a bigger predictive gap than others.
Yoav Ger, Moni Shahar, Nitzan Shahar
doaj +1 more source
The Structure of Informal Learning in the Workplace—An Experience Sampling Approach
Human Resource Development Quarterly, EarlyView.ABSTRACT This paper complements retrospective approaches to researching informal learning in the workplace with experience sampling. Since (conscious) informal learning is becoming increasingly important for successfully keeping pace with rapid changes in working environments, a clear understanding of the construct and its precise measurement are ...
Katja Häußermann, Tina Seufert
wiley +1 more source
Household Consumption Intentions by Income Group During Monetary Policy Easing and Tightening
International Journal of Finance &Economics, EarlyView.ABSTRACT We investigate how the monetary policy interest rate affects Brazilian households' consumption intentions under two distinct regimes: monetary easing and tightening cycles. Using data from low‐ and high‐income households, we assess both the magnitude and the dynamics of this relationship.
Helder Ferreira de Mendonça +1 more
wiley +1 more source
Undersmoothing Causal Estimators With Generative Trees
IEEE AccessAverage causal effects are averages of (heterogeneous) individual treatment effects (ITEs) taken over the entire target population. The estimation of average causal effects has been studied in depth, but averages are insufficient for more individualised ...
Damian Machlanski +2 more
doaj +1 more source