رسالة جامعية
Flexible Multidimensional Item Response Theory Models Incorporating Response Styles
| العنوان: | Flexible Multidimensional Item Response Theory Models Incorporating Response Styles |
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| المؤلفون: | Stanley, Leanne M. |
| بيانات النشر: | The Ohio State University / OhioLINK, 2017. |
| سنة النشر: | 2017 |
| المجموعة: | Ohiolink ETDs |
| Original Material: | http://rave.ohiolink.edu/etdc/view?acc_num=osu1494316298549437Test |
| مصطلحات موضوعية: | Personality Psychology, Quantitative Psychology, multidimensional item response theory, response styles, Metropolis-Hastings Robbins-Monro algorithm, Big Five personality dimensions |
| الوصف: | Psychologists routinely use item responses to estimate individuals’ standing on constructs of theoretical and practical interest. However, in addition to the focal constructs, item responses may be meaningfully influenced by response styles, which are characteristic ways in which participants use rating scales. Response styles may or may not be related to the content of an item and may interfere with the accurate measurement of target constructs. This project focuses on comparing multidimensional item response theory (MIRT) from three model families: difference, divide-by-total, and IRTree models. In addition to ordinal-only models from the three families, I consider two very general models from the divide-by-total (Falk & Cai, 2016) and IRTree (Jeon De Boeck, 2016) families that allow researchers to relax the assumption that Likert-type item responses are purely ordinal. Response style models from the difference model family do not currently exist.Several research questions are addressed using a large set of responses (N = 6,714) to a Big Five personality inventory with 10 items per dimension and a 5- point Likert-type response scale: (1) Can response style models from the divide-by-total and IRTree families be fit to a single set of responses? (2) Is there evidence that response styles should be modeled or can they simply be ignored in terms of statistical model fit (AIC and BIC)? (3) How can IRTree models be extended in such a way that they become more conceptually similar to divide-by-total models for trait and response style dimensions? (4) If there is statistical evidence of response styles in the data, is there also evidence that modeling them makes a practical difference in scores on the target (Big Five) dimensions? The results of this work suggest that failing to model individual differences in extreme and (possibly) midpoint response styles may meaningfully bias expected a posteriori (EAP) scores for at least some personality dimensions. On the other hand, there was not much evidence that this bias at the individual level meaningfully impacted group-level parameter estimates (correlations among the Big Five dimensions) within this sample of respondents who completed the Big Five measure voluntarily from their personal computers.A great deal remains to be explored in developing a useful general taxonomy of item response models, such as the partial taxonomy presented in Chapter 2 for Likert- type responses. There is also much to be explored regarding when MIRT models from the divide-by-total and IRTree families may produce convergent vs. divergent results, and the conditions under which it may or may not be possible to specify conceptually similar models. These very flexible model families have many potential applications for investigating the psychological meaning of rating scale data. |
| Original Identifier: | oai:etd.ohiolink.edu:osu1494316298549437 |
| نوع الوثيقة: | Text |
| اللغة: | English |
| الإتاحة: | http://rave.ohiolink.edu/etdc/view?acc_num=osu1494316298549437Test |
| حقوق: | unrestricted This thesis or dissertation is protected by copyright: some rights reserved. It is licensed for use under a Creative Commons license. Specific terms and permissions are available from this document's record in the OhioLINK ETD Center. |
| رقم الانضمام: | edsndl.OhioLink.oai.etd.ohiolink.edu.osu1494316298549437 |
| قاعدة البيانات: | Networked Digital Library of Theses & Dissertations |
| الوصف غير متاح. |