University of Illinois Urbana-Champaign

The exploratory Generalized Noisy Inputs, Deterministic “OR” gate model: A duality proof and application

Jimenez, Auburn A.

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https://hdl.handle.net/2142/106399

Description

Title
The exploratory Generalized Noisy Inputs, Deterministic “OR” gate model: A duality proof and application
Author(s)
Jimenez, Auburn A.
Issue Date
2019-12-12
Director of Research (if dissertation) or Advisor (if thesis)
Culpepper, Steven
Committee Member(s)
Regenwetter, Michel
Department of Study
Psychology
Discipline
Psychology
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
M.S.
Degree Level
Thesis
Keyword(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."
Graduation Semester
2019-12
Type of Resource
text
Permalink
http://hdl.handle.net/2142/106399
Copyright and License Information
Copyright 2019 Auburn Jimenez

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