Results 201 to 210 of about 7,458,492 (235)

Yardstick competition under fiscal and administrative asymmetries: Rent‐seeking and local cooperation

open access: yesAnnals of Public and Cooperative Economics, EarlyView.
Abstract This paper develops a two‐period model to investigate how fiscal and bureaucratic asymmetries shape yardstick competition (YC), inter‐municipal cooperation (IMC), and rent‐seeking in local public service provision. Unlike previous approaches, we allow incumbents to invest in bureaucratic efficiency, influencing both service quality and ...
Antonio Cortese   +2 more
wiley   +1 more source

Idiographic interrater reliability measures for intensive longitudinal multirater data

open access: yesBritish Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Interrater reliability plays a crucial role in various areas of psychology. In this article, we propose a multilevel latent time series model for intensive longitudinal data with structurally different raters (e.g., self‐reports and partner reports).
Tobias Koch   +4 more
wiley   +1 more source

Enhancing generalizability theory with mixed‐effects models for heteroscedasticity in psychological measurement: A theoretical introduction with an application from EEG data

open access: yesBritish Journal of Mathematical and Statistical Psychology, EarlyView.
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

Regularized reduced rank regression for mixed predictor and response variables

open access: yesBritish Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract In this paper, we introduce the Generalized Mixed Regularized Reduced Rank Regression model (GMR4), an extension of the GMR3 model designed to improve performance in high‐dimensional settings. GMR3 is a regression method for a mix of numeric, binary and ordinal response variables, while also allowing for mixed‐type predictors through optimal ...
Lorenza Cotugno   +2 more
wiley   +1 more source

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