OscatsModelDina

OscatsModelDina — Deterministic Inputs Noisy And Gate (DINA) Model

Synopsis

struct              OscatsModelDina;

Object Hierarchy

  GObject
   +----OscatsModel
         +----OscatsModelDina

Description

Details

struct OscatsModelDina

struct OscatsModelDina;

Deterministic Inputs Noisy And Gate (DINA) Classification model: P(X=1|alpha) = (1-s)^(prod_i alpha_i) g^(1-prod_i alpha_i) where s is the slipping parameter and g is the guessing parameter.

Parameter names: Guess, Slip.

Note: This model does not support covariates, oscats_model_distance(), or oscats_model_logLik_dtheta().

References:

Jimmy de la Torre (2008). "DINA Model and Parameter Estimation: A Didactic." Journal of Educational and Behavioral Statistics, 34, 115-130.

Brian Junker and Klaas Sijtsma (2001). "Cognitive Assessment Models with Few Assumptions, and Connections with Nonparametric Item Response Theory." Applied Psychological Measurement, 25, 258-272.

Edward Haertel (1989). "Using Restricted Latent Class Models to Map the Skill Structure of Achievement Items." Journal of Educational Measurement, 26, 301-321.

George Macready and C. Mitchell Dayton (1977). "The Use of Probabilistic Modes in the Assessment of Mastery." Journal of Educational Statistics, 2, 99-120.