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Examination of checklist psychologic...
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Yasuda, Tomoyuki.
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Examination of checklist psychological data based on the cumulative and unfolding item response models.
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Examination of checklist psychological data based on the cumulative and unfolding item response models./
作者:
Yasuda, Tomoyuki.
面頁冊數:
157 p.
附註:
Adviser: Hoi K. Suen.
Contained By:
Dissertation Abstracts International66-04A.
標題:
Education, Educational Psychology. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3173023
ISBN:
9780542107559
Examination of checklist psychological data based on the cumulative and unfolding item response models.
Yasuda, Tomoyuki.
Examination of checklist psychological data based on the cumulative and unfolding item response models.
- 157 p.
Adviser: Hoi K. Suen.
Thesis (Ph.D.)--The Pennsylvania State University, 2005.
In spite of the frequent use of Item Response Theory (IRT) in educational measurement, its application to psychological measurement has been limited. Educational testing is regarded as including tests of maximum performance, whereas psychological testing is often denoted as tests of typical performance. Equal applicability of the IRT model should not be assumed when the model is employed for the analyses of attitude and affective responses on which typical performances are based. This is primary because of the differences in the assumptions underlying the two response processes: the dominance and ideal-point response processes. The cumulative IRT model, by which the dominance response processes are analyzed, is different from the unfolding IRT model that is adapted for the analyses of the ideal-point response processes in terms of formulating the response functions (i.e., monotonic vs. non-monotonic).
ISBN: 9780542107559Subjects--Topical Terms:
1017560
Education, Educational Psychology.
Examination of checklist psychological data based on the cumulative and unfolding item response models.
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In spite of the frequent use of Item Response Theory (IRT) in educational measurement, its application to psychological measurement has been limited. Educational testing is regarded as including tests of maximum performance, whereas psychological testing is often denoted as tests of typical performance. Equal applicability of the IRT model should not be assumed when the model is employed for the analyses of attitude and affective responses on which typical performances are based. This is primary because of the differences in the assumptions underlying the two response processes: the dominance and ideal-point response processes. The cumulative IRT model, by which the dominance response processes are analyzed, is different from the unfolding IRT model that is adapted for the analyses of the ideal-point response processes in terms of formulating the response functions (i.e., monotonic vs. non-monotonic).
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Given the differences in underlying response processes, the unfolding model should in theory be more properly used when analyzing the checklist-type psychological data, which are also known as the pick any/n data. The present study examined if it is really the case by evaluating the item response patterns underlying the two subscales of the Japanese translated version of the Multiple Affect Adjective Check List-Revised (MAACL-R: Yasuda, Lubin, Kim, & Whitlock, 2003), representing the construct of positive affectivity (PA) and negative affectivity (NA).
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Evidence was found that, among the cumulative IRT models, the two-parameter logistic model (2PLM) and three-parameter logistic model (3PLM) fit adequately. Only a degree of applicability of an unfolding model, or the hyperbolic cosine model (HCM: Andrich & Luo, 1993), was evidenced, showing the consistencies and stabilities of item or person parameters for the bipolar formulation of the latent trait with the PA and NA being at opposing ends of the latent continuum. When the PA and NA items were scaled and examined separately, however, the HCM was found neither to fit adequately nor to produce consistent and stable parameter estimates. Evidence generally pointed to the robustness of the cumulative IRT models, and the 2PLM and the 3PLM in particular, as applied to the checklist psychological data.
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