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- W2979666567 abstract "The purpose of cognitive diagnosis is to obtain information about the set of skills or attributes that examinees have or do not have. A cognitive diagnostic model (CDM) attempts to extract this information from the pattern of responses of examinees to test items. A number of general CDMs have been proposed, such as the general diagnostic model (GDM; von Davier M, Brit J Math Stat Psychol 61:287–307, 2008), the generalized DINA model (GDINA; de la Torre J, Psychometrika 76:179–199, 2011), and the log-linear cognitive diagnostic model (LCDM; Henson RA, Templin JL, Willse JT, Psychometrika 74:191–210, 2009). These general models can be shown to include well-known models that are often used in cognitive diagnosis, such as the deterministic inputs noisy and gate model (DINA; Junker BW, Sijtsma K, Appl Psychol Meas 25:258–272, 2001), the deterministic inputs noise or gate model (DINO; Templin JL, Henson RA, Psychol Methods 11:287–305, 2006), the additive cognitive diagnosis model (ACDM; de la Torre J, Psychometrika 76:179–199, 2011), the linear logistic model (LLM; Maris E, Psychometrika 64:187–212, 1999), and the reduced reparameterized unified model (rRUM; Hartz SM, A Bayesian framework for the unified model for assessing cognitive abilities. Unpublished doctoral dissertation, 2002)." @default.
- W2979666567 created "2019-10-18" @default.
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- W2979666567 date "2019-01-01" @default.
- W2979666567 modified "2023-09-23" @default.
- W2979666567 title "Insights from Reparameterized DINA and Beyond" @default.
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- W2979666567 doi "https://doi.org/10.1007/978-3-030-05584-4_11" @default.
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