Determining the Number of Attributes in Cognitive Diagnosis Modeling.

ABSTRACT: Cognitive diagnosis models (CDMs) allow classifying respondents into a set of discrete attribute profiles. The internal structure of the test is determined in a Q-matrix, whose correct specification is necessary to achieve an accurate attribute profile classification. Several empirical Q-matrix estimation and validation methods have been proposed with the aim of providing well-specified Q-matrices. However, these methods require the number of attributes to be set in advance. No systematic studies about CDMs dimensionality assessment have been conducted, which contrasts with the vast existing literature for the factor analysis framework. To address this gap, the present study evaluates the performance of several dimensionality assessment methods from the factor analysis literature in determ

SUBMITTER: Najera P 

PROVIDER: S-EPMC7917061 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature