observations.test


This data set list the dichotomous responses of students for a test containing 11 items.


Analysis of dichotomous response data to obtain attribute profile
estimates for respondents using Diagnostic Classification Model (DCM) and
Markov Chain Monte Carlo (MCMC) method. The estimation procedure uses a
loglinear cognitive diagnostic modeling (LDCM) framework that allows for
the estimation of a host of DCMs such as NIDO, NIDA, NC-RUM etc.

Diane Losardo

dcmr

Attribute profile estimation using Diagnostic Classification
Models and MCMC

observations.test function

a data frame containing 15 students and 11 items. 1 student per row

observations.test: Obervations

Description

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