Using item response tree models for studying response behaviors
department or school: Education, Faculty of
department or school: Educational and Counselling Psychology, and Special Education (ECPS), Department of
data provider: DSpace
degree campus: UBCV
creator: Park, Minjeong
issued: 2021-11-17T19:41:54Z
issued: 2021
related degree: Doctor of Philosophy - PhD
degree grantor: University of British Columbia
description: In psychological and educational testing, test-takers’ response behaviors are a critical issue because they have significant impacts on the measurement of the trait and ability. The item response tree (IRTree) model is recently introduced as a promising tool for studying response behaviors. In this dissertation, I focused on the explanatory IRTree model that allows the researchers to include person and item characteristic variables to “explain” response behaviors. Although the explanatory IRTree model provides a useful way to address various queries about response behaviors, it has not gained much attention in the literature. Thus, the goal of this dissertation is to draw researchers’ attention to the potential of the explanatory IRTree model. To do so, I first introduced the IRTree model within an explanatory item response modeling framework. Taking this framework, I explicated how the standard IRTree model (a.k.a., descriptive IRTree model) can be easily extended to the explanatory IRTree model. Following that, I showcased two real-data applications. Study-1 used both the descriptive and explanatory IRTree models to inspect the response styles when answering the Rosenberg’s Self-esteem Scale. As the main findings, this study found the presence of two distinct extreme response styles and the acquiescence response style. Study-2 used the explanatory IRTree model to investigate the effects of person and item characteristics on nonresponse behaviors (not-reached and omitted) when taking the reading test of the Progress in International Reading Literacy Study. The findings showed that item nonresponse behaviors occurred differently depending on gender, test language, item location, and item format. There are three unique contributions of this dissertation. First, it expanded the utility of the IRTree model to be a tool for “explaining” response behaviors. Second, it provided an in-depth understanding of response styles in Likert-type psychological rating scales and non…
aggregated CHO: https://circle.library.ubc.ca/rest/handle/2429/80211
note: Using Item Response Tree Models for Studying Response Behaviors by Minjeong Park B.A., Ewha Womans University, 2014 M.A., The University of British Columbia, 2017 A DISSERTATION SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY in THE FACULTY OF GRADUATE AND POSTDOCTORAL STUDIES (Measurement, Evaluation, and Research Methodology) THE UNIVERSITY OF BRITISH COLUMBIA (Vancouver) November 2021 © Minjeong Park, 2021 ii The following individuals certify that they have read, and recommend to the Faculty of Graduate and Postdoctoral Studies for acceptance, the dissertation entitled: Using Item Response Tree Models for Studying Response Behaviors submitted by Minjeong Park in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Measurement, Evaluation, and Research Methodology Examining Committee: Dr. Amery D. Wu, Associate professor, Faculty of Education, UBC Supervisor Dr. Sterett H. Mercer, Professor, Faculty of Education, UBC Supervisory Committee Member Dr. Farinaz Havaei, Assistant Professor, School of Nursing, UBC Supervisory Committee Member Dr. Gunderson Lee, Professor, Faculty of Education, UBC University Examiner Dr. Jeremy Biesanz, Associate professor, Faculty of Arts, UBC University Examiner iii Abstract In psychological and educational testing, test-takers’ response behaviors are a critical issue because they have significant impacts on the measurement of the trait and ability. The item response tree (IRTree) model is recently introduced as a promising tool for studying response behaviors. In this dissertation, I focused on the explanatory IRTree model that allows the researchers to include person and item characteristic variables to “explain” response behaviors. Although the explanatory IRTree model provides a useful way to address various queries about response behaviors, it has not gained much attention in the literature. Thus, the goal of this dissertation is to draw researchers’ attenti…
has type: Thesis/Dissertation
date issued: 2022-05
is shown at: 10.14288/1.0403712
language: eng
degree discipline: Measurement, Evaluation and Research Methodology
provider: Vancouver : University of British Columbia Library
publisher: University of British Columbia
rights: Attribution-NonCommercial-NoDerivatives 4.0 International
rights URI: http://creativecommons.org/licenses/by-nc-nd/4.0/
scholar level: Graduate
contributor: Wu, Amery D.
type: Text
identifier URI: http://hdl.handle.net/2429/80211