In Bayesian statistics, the most widely used criteria of Bayesian model assessment and comparison are Deviance Information Criterion (DIC) and Watanabe-Akaike Information Criterion (WAIC). We use a multilevel mediation model as an illustrative example to compare different types of DIC and WAIC. More specifically, we aim to compare the performance of conditional and marginal DICs and WAICs, and investigate their performance with missing data.
View Article and Find Full Text PDFComposite scores are an exceptionally important psychometric tool for behavioral science research applications. A prototypical example occurs with self-report data, where researchers routinely use questionnaires with multiple items that tap into different features of a target construct. Item-level missing data are endemic to composite score applications.
View Article and Find Full Text PDFMissing data such as data missing at random (MAR) are unavoidable in real data and have the potential to undermine the validity of research results. Multiple imputation is one of the most widely used MAR-based methods in education and behavioral science applications. Arbitrarily specifying imputation models can lead to incompatibility and cause biased estimation.
View Article and Find Full Text PDFPerspect Psychiatr Care
July 2022
Purpose: The aim of this study was to determine faculty members' views of lesbian, gay, bisexual, transsexual, and intersex individuals.
Design And Methods: The study sample consists of 180 faculty members who agreed to participate in the study.
Findings: The faculty members had positive attitudes towards homosexuals but were highly homophobic; furthermore, their responses to questions about their close social circle were severely homophobic.
Dtsch Tierarztl Wochenschr
December 1990
The aim of this study was to investigate the incidence of different teat lesions in cows that cause obstruction of milk flow. 18,400 teats were palpated in Konya slaughterhouse. From these 1000 hard milking or obstructed teats were found (5.
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