标题：Distributional Assumptions in Educational Assessments Analysis: Normal Distributions Versus Generalized Beta Distribution in Modeling the Phenomenon of Learning
摘要：AbstractThis paper introduces the generalized beta (GB) model as a new modeling tool in the educational assessment area, evaluation analysis specifically. Unlike normal model, GB model allows us to capture some real characteristics of the data and it is an important tool to understand the phenomenon of learning.This paper develops a contrast with the normal model, allowing to observe that there are situations in which, the most common assumption is that the normality of the data is not always the best. The theory of educational assessment should begin to open to new statistical tools offered, adding new models in order to capture one the best features of the data and reject strong assumptions as strong as symmetry.
关键词：Normal distribution;symmetry;unimodality;evaluation and learning analysis
