{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/106399"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/106399","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"The exploratory Generalized Noisy Inputs, Deterministic “OR” gate model: A duality proof and application","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.\"","abstract_html":""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."","abstract_has_math":false,"creators":["Jimenez, Auburn A."],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Psychology","degree_department":null,"school":null,"contributors":["Culpepper, Steven","Regenwetter, Michel"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2020,"date_issued":"2020-03-02T22:18:19Z","date_published":"2020-03-02T22:18:19Z","updated_at":"2026-07-22T22:24:47Z","subjects":["Exploratory cognitive diagnosis modeling","duality","conjunctive","disjunctive","reduced reparameterized unified model","psychopathology"],"languages":["en"],"rights":["Copyright 2019 Auburn Jimenez"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/106399","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Culpepper, Steven","Regenwetter, Michel"]},{"key":"dc:creator","label":"Author","values":["Jimenez, Auburn A."]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2020-03-02T22:18:19Z","2022-03-03T10:15:27Z","2019-12-12","2019-12"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Psychology"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Exploratory cognitive diagnosis modeling","duality","conjunctive","disjunctive","reduced reparameterized unified model","psychopathology"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2019 Auburn Jimenez"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/106399"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["\"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.\"","Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2021-12-01","The student, Auburn Jimenez, accepted the attached license on 2019-12-11 at 14:43.","The student, Auburn Jimenez, submitted this Thesis for approval on 2019-12-11 at 15:34.","This Thesis was approved for publication on 2019-12-12 at 09:51.","DSpace SAF Submission Ingestion Package generated from Vireo submission #14796 on 2020-02-28 at 17:24:28","Made available in DSpace on 2020-03-02T22:18:19Z (GMT). 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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.\"","Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2021-12-01","The student, Auburn Jimenez, accepted the attached license on 2019-12-11 at 14:43.","The student, Auburn Jimenez, submitted this Thesis for approval on 2019-12-11 at 15:34.","This Thesis was approved for publication on 2019-12-12 at 09:51.","DSpace SAF Submission Ingestion Package generated from Vireo submission #14796 on 2020-02-28 at 17:24:28","Made available in DSpace on 2020-03-02T22:18:19Z (GMT). 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