Post-Print筆數 : 27 |
Items with full text/Total items : 92664/122999 (75%)
Visitors : 26930644
Online Users : 405
Please use this identifier to cite or link to this item:
|Title: ||Properties of Second-Order Exponential Models as Multidimensional Response Models|
Anderson, C. J.
|Keywords: ||Dutch Identity;Log-multiplicative association models;Formative models;Reflective models;Composite indicators;Skew normal;Bi-variate exponential|
|Issue Date: ||2017-09-27 17:25:23 (UTC+8)|
|Abstract: ||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.|
|Relation: ||Quantitative Psychology: The 81st Annual Meeting of the psychometric Society, Asheville, North Carolina, 2016, Springer, pp.9-19|
|Data Type: ||book/chapter|
|DOI 連結: ||https://doi.org/10.1007/978-3-319-56294-0_2|
|Appears in Collections:||[心理學系] 專書/專書篇章|
Files in This Item:
All items in 政大典藏 are protected by copyright, with all rights reserved.