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題名 Properties of second-order exponential models as multidimensional response models
作者 Anderson, Carolyn J.;Yu, Hsiu-Ting
游琇婷
貢獻者 心理學系
關鍵詞 Association models; Composite indicators; Dutch Identity; Formative models; Skew normals; Philosophical aspects
日期 2017
上傳時間 3-Aug-2017 14:18:39 (UTC+8)
摘要 Second-order exponential (SOE) models have been proposed as item response models (e.g., Anderson et al., J. Educ. Behav. Stat. 35:422–452, 2010; Anderson, J. Classif. 30:276–303, 2013. doi: 10.1007/s00357-00357-013-9131-x; Hessen, Psychometrika 77:693–709, 2012. doi:10.1007/s11336-012-9277-1 Holland, Psychometrika 55:5–18, 1990); however, the philosophical and theoretical underpinnings of the SOE models differ from those of standard item response theory models. Although presented as reexpressions of item response theory models (Holland, Psychometrika 55:5–18, 1990), which are reflective models, the SOE models are formative measurement models. We extend Anderson and Yu (Psychometrika 72:5–23, 2007) who studied unidimensional models for dichotomous items to multidimensional models for dichotomous and polytomous items. The properties of the models for multiple latent variables are studied theoretically and empirically. Even though there are mathematical differences between the second-order exponential models and multidimensional item response theory (MIRT) models, the SOE models behave very much like standard MIRT models and in some cases better than MIRT models. © Springer International Publishing AG 2017.
關聯 Springer Proceedings in Mathematics and Statistics, 196, 9-19
81st annual meeting of the Psychometric Society, 2016; Asheville; United States; 11 July 2016 到 15 July 2016; 代碼 193009
資料類型 conference
DOI http://dx.doi.org/10.1007/978-3-319-56294-0_2
dc.contributor 心理學系zh_Tw
dc.creator (作者) Anderson, Carolyn J.;Yu, Hsiu-Tingen_US
dc.creator (作者) 游琇婷zh_TW
dc.date (日期) 2017en_US
dc.date.accessioned 3-Aug-2017 14:18:39 (UTC+8)-
dc.date.available 3-Aug-2017 14:18:39 (UTC+8)-
dc.date.issued (上傳時間) 3-Aug-2017 14:18:39 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/111636-
dc.description.abstract (摘要) Second-order exponential (SOE) models have been proposed as item response models (e.g., Anderson et al., J. Educ. Behav. Stat. 35:422–452, 2010; Anderson, J. Classif. 30:276–303, 2013. doi: 10.1007/s00357-00357-013-9131-x; Hessen, Psychometrika 77:693–709, 2012. doi:10.1007/s11336-012-9277-1 Holland, Psychometrika 55:5–18, 1990); however, the philosophical and theoretical underpinnings of the SOE models differ from those of standard item response theory models. Although presented as reexpressions of item response theory models (Holland, Psychometrika 55:5–18, 1990), which are reflective models, the SOE models are formative measurement models. We extend Anderson and Yu (Psychometrika 72:5–23, 2007) who studied unidimensional models for dichotomous items to multidimensional models for dichotomous and polytomous items. The properties of the models for multiple latent variables are studied theoretically and empirically. Even though there are mathematical differences between the second-order exponential models and multidimensional item response theory (MIRT) models, the SOE models behave very much like standard MIRT models and in some cases better than MIRT models. © Springer International Publishing AG 2017.en_US
dc.format.extent 211 bytes-
dc.format.mimetype text/html-
dc.relation (關聯) Springer Proceedings in Mathematics and Statistics, 196, 9-19en_US
dc.relation (關聯) 81st annual meeting of the Psychometric Society, 2016; Asheville; United States; 11 July 2016 到 15 July 2016; 代碼 193009en_US
dc.subject (關鍵詞) Association models; Composite indicators; Dutch Identity; Formative models; Skew normals; Philosophical aspectsen_US
dc.title (題名) Properties of second-order exponential models as multidimensional response modelsen_US
dc.type (資料類型) conference
dc.identifier.doi (DOI) 10.1007/978-3-319-56294-0_2
dc.doi.uri (DOI) http://dx.doi.org/10.1007/978-3-319-56294-0_2