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題名 Properties of Second-Order Exponential Models as Multidimensional Response Models
作者 游琇婷
Anderson, C. J.
貢獻者 心理系
關鍵詞 Dutch Identity ; Log-multiplicative association models ; Formative models ; Reflective models ; Composite indicators ; Skew normal ; Bi-variate exponential
日期 2017-07
上傳時間 27-Sep-2017 17:25:23 (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.
關聯 Quantitative Psychology: The 81st Annual Meeting of the psychometric Society, Asheville, North Carolina, 2016, Springer, pp.9-19
資料類型 book/chapter
DOI https://doi.org/10.1007/978-3-319-56294-0_2
dc.contributor 心理系zh_TW
dc.creator (作者) 游琇婷zh_TW
dc.creator (作者) Anderson, C. J.en_US
dc.date (日期) 2017-07
dc.date.accessioned 27-Sep-2017 17:25:23 (UTC+8)-
dc.date.available 27-Sep-2017 17:25:23 (UTC+8)-
dc.date.issued (上傳時間) 27-Sep-2017 17:25:23 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/113127-
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.zh_TW
dc.format.extent 125 bytes-
dc.format.mimetype text/html-
dc.relation (關聯) Quantitative Psychology: The 81st Annual Meeting of the psychometric Society, Asheville, North Carolina, 2016, Springer, pp.9-19en_US
dc.subject (關鍵詞) Dutch Identity ; Log-multiplicative association models ; Formative models ; Reflective models ; Composite indicators ; Skew normal ; Bi-variate exponentialen_US
dc.title (題名) Properties of Second-Order Exponential Models as Multidimensional Response Modelsen_US
dc.type (資料類型) book/chapter
dc.identifier.doi (DOI) 10.1007/978-3-319-56294-0_2
dc.doi.uri (DOI) https://doi.org/10.1007/978-3-319-56294-0_2