Generalizability theory with a Bayesian flavour

Generalizability theory is a very powerful tool for analyzing the strengths and weaknesses of measurements. It uses estimates of different sources of variance in the measurement situation. However, these estimates in themselves are of course not absolute. The uncertainty behind these estimates is usually not included in the research. In this post, I explore the idea of approaching generalizability theory from the Bayesian angle. I am curious to hear your ideas on this!

Jaar van publicatie:2021

Trefwoorden:Newspaper/Magazine/blog article

Toegankelijkheid:Open