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Bayesian Survival Analysis in STAN for Improved Measuring of Uncertainty in Parameter Estimates
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Kelter, Riko – Measurement: Interdisciplinary Research and Perspectives, 2020
Survival analysis is an important analytic method in the social and medical sciences. Also known under the name time-to-event analysis, this method provides parameter estimation and model fitting commonly conducted via maximum-likelihood. Bayesian survival analysis offers multiple advantages over the frequentist approach for measurement…
Descriptors: Bayesian Statistics, Maximum Likelihood Statistics, Programming Languages, Statistical Inference
Why the Item "23 + 1" Is Not in a Depression Questionnaire: Validity from a Network Perspective
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Cramer, Angelique O. J. – Measurement: Interdisciplinary Research and Perspectives, 2012
What is validity? A simple question but apparently one with many answers, as Paul Newton highlights in his review of the history of validity. The current definition of validity, as entertained in the 1999 "Standards for Educational and Psychological Testing" is indeed a consensus, one between the classical notion of attributes, and measures…
Descriptors: Validity, Educational Testing, Depression (Psychology), Psychology