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Title:The exploratory Generalized Noisy Inputs, Deterministic “OR” gate model: A duality proof and application
Author(s):Jimenez, Auburn A.
Advisor(s):Culpepper, Steven
Contributor(s):Regenwetter, Michel
Department / Program:Psychology
Discipline:Psychology
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:M.S.
Genre:Thesis
Subject(s):Exploratory cognitive diagnosis modeling
duality
conjunctive
disjunctive
reduced reparameterized unified model
psychopathology
Abstract:Cognitive diagnosis models (CDMs) are useful methods for classifying individuals into substantively meaningful latent classes. Recent research applied disjunctive models to psychopathology questionnaires to support clinical diagnoses. We discuss a more general disjunctive model than used in previous research, the Generalized, Noisy Inputs, Deterministic "OR'' Gate (GNIDO) model. We generalize the proof of Köhn & Chiu (2016) to establish the duality between the GNIDO and the Generalized, Noisy Inputs, Deterministic "AND'' Gate (GNIDA) model, which is also known as the reduced reparameterized unified model (rRUM). We apply an exploratory GNIDO model to 14 anxiety items from the Wisconsin Longitudinal Study to uncover the latent structure. Our application of the exploratory GNIDO demonstrates the clinical value in using exploratory CDMs in applied research. We discuss the implication of our results for future methodological research as well as substantive efforts that aim to use clinical diagnoses to transition patients to symptom-free classes with more targeted interventions.
Issue Date:2019-12-12
Type:Text
URI:http://hdl.handle.net/2142/106399
Rights Information:Copyright 2019 Auburn Jimenez
Date Available in IDEALS:2020-03-02
Date Deposited:2019-12


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