Results 201 to 210 of about 96,795 (287)
Independent Board of Directors Group Faultlines and CSR: Evidence From India
ABSTRACT This study, leveraging group faultline and upper echelons theories, explores how relation and task‐based faultlines among independent board members influence CSR investment under the contingency effect of the financial slack of the firms. This study, leveraging the concept of group faultline and upper echelons, first hypothesizes how the supra‐
Arpita Agnihotri, Saurabh Bhattacharya
wiley +1 more source
Abstract In ecological momentary assessment (EMA), respondents answer brief questionnaires about their current behaviours or experiences several times per day across multiple days. The frequent measurement enables a thorough grasp of the dynamics inherent in psychological constructs, but it also increases respondent burden.
Leonie V. D. E. Vogelsmeier +3 more
wiley +1 more source
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
Improving the value of population health data for health policy and decision-making using machine learning algorithms in EQ-5D-5L index estimation. [PDF]
Hölgyesi Á +8 more
europepmc +1 more source
Reliability measures in knowledge structure theory
Abstract In knowledge structure theory (KST) framework, this study evaluates the reliability of knowledge state estimation by introducing two key measures: the expected accuracy rate and the expected discrepancy. The accuracy rate quantifies the likelihood that the estimated knowledge state aligns with the true state, while the expected discrepancy ...
Debora de Chiusole +3 more
wiley +1 more source
Simulations of genomic selection implementation pathways in common bean (Phaseolus vulgaris L.) using parametric and nonparametric models. [PDF]
Chiaravallotti I, Hoyos-Villegas V.
europepmc +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
Advancing censored geochemical Au prediction through Bayesian spatial models and Random Forest with fractal-based background separation. [PDF]
Mahdiyanfar H.
europepmc +1 more source

