A dual process item response theory model for polytomous multidimensional forced‐choice items.
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| Title: | A dual process item response theory model for polytomous multidimensional forced‐choice items. |
|---|---|
| Authors: | Qiu, Xuelan (AUTHOR), de la Torre, Jimmy (AUTHOR) |
| Source: | British Journal of Mathematical & Statistical Psychology. Nov2023, Vol. 76 Issue 3, p491-512. 22p. |
| Subjects: | Item response theory, Model theory, Psychological tests, Stimulus & response (Psychology), Personality, Multidimensional databases |
| Abstract: | The use of multidimensional forced‐choice (MFC) items to assess non‐cognitive traits such as personality, interests and values in psychological tests has a long history, because MFC items show strengths in preventing response bias. Recently, there has been a surge of interest in developing item response theory (IRT) models for MFC items. However, nearly all of the existing IRT models have been developed for MFC items with binary scores. Real tests use MFC items with more than two categories; such items are more informative than their binary counterparts. This study developed a new IRT model for polytomous MFC items based on the cognitive model of choice, which describes the cognitive processes underlying humans' preferential choice behaviours. The new model is unique in its ability to account for the ipsative nature of polytomous MFC items, to assess individual psychological differentiation in interests, values and emotions, and to compare the differentiation levels of latent traits between individuals. Simulation studies were conducted to examine the parameter recovery of the new model with existing computer programs. The results showed that both statement parameters and person parameters were well recovered when the sample size was sufficient. The more complete the linking of the statements was, the more accurate the parameter estimation was. This paper provides an empirical example of a career interest test using four‐category MFC items. Although some aspects of the model (e.g., the nature of the person parameters) require additional validation, our approach appears promising. [ABSTRACT FROM AUTHOR] |
| Copyright of British Journal of Mathematical & Statistical Psychology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
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| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 172755829 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A dual process item response theory model for polytomous multidimensional forced‐choice items. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Qiu%2C+Xuelan%22">Qiu, Xuelan</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22de+la+Torre%2C+Jimmy%22">de la Torre, Jimmy</searchLink> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22British+Journal+of+Mathematical+%26+Statistical+Psychology%22">British Journal of Mathematical & Statistical Psychology</searchLink>. Nov2023, Vol. 76 Issue 3, p491-512. 22p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Item+response+theory%22">Item response theory</searchLink><br /><searchLink fieldCode="DE" term="%22Model+theory%22">Model theory</searchLink><br /><searchLink fieldCode="DE" term="%22Psychological+tests%22">Psychological tests</searchLink><br /><searchLink fieldCode="DE" term="%22Stimulus+%26+response+%28Psychology%29%22">Stimulus & response (Psychology)</searchLink><br /><searchLink fieldCode="DE" term="%22Personality%22">Personality</searchLink><br /><searchLink fieldCode="DE" term="%22Multidimensional+databases%22">Multidimensional databases</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The use of multidimensional forced‐choice (MFC) items to assess non‐cognitive traits such as personality, interests and values in psychological tests has a long history, because MFC items show strengths in preventing response bias. Recently, there has been a surge of interest in developing item response theory (IRT) models for MFC items. However, nearly all of the existing IRT models have been developed for MFC items with binary scores. Real tests use MFC items with more than two categories; such items are more informative than their binary counterparts. This study developed a new IRT model for polytomous MFC items based on the cognitive model of choice, which describes the cognitive processes underlying humans' preferential choice behaviours. The new model is unique in its ability to account for the ipsative nature of polytomous MFC items, to assess individual psychological differentiation in interests, values and emotions, and to compare the differentiation levels of latent traits between individuals. Simulation studies were conducted to examine the parameter recovery of the new model with existing computer programs. The results showed that both statement parameters and person parameters were well recovered when the sample size was sufficient. The more complete the linking of the statements was, the more accurate the parameter estimation was. This paper provides an empirical example of a career interest test using four‐category MFC items. Although some aspects of the model (e.g., the nature of the person parameters) require additional validation, our approach appears promising. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of British Journal of Mathematical & Statistical Psychology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=172755829 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1111/bmsp.12303 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 22 StartPage: 491 Subjects: – SubjectFull: Item response theory Type: general – SubjectFull: Model theory Type: general – SubjectFull: Psychological tests Type: general – SubjectFull: Stimulus & response (Psychology) Type: general – SubjectFull: Personality Type: general – SubjectFull: Multidimensional databases Type: general Titles: – TitleFull: A dual process item response theory model for polytomous multidimensional forced‐choice items. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Qiu, Xuelan – PersonEntity: Name: NameFull: de la Torre, Jimmy IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 11 Text: Nov2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 00071102 Numbering: – Type: volume Value: 76 – Type: issue Value: 3 Titles: – TitleFull: British Journal of Mathematical & Statistical Psychology Type: main |
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