政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/148545
English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  全文筆數/總筆數 : 113318/144297 (79%)
造訪人次 : 50971767      線上人數 : 916
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
搜尋範圍 查詢小技巧：
  • 您可在西文檢索詞彙前後加上"雙引號"，以獲取較精準的檢索結果
  • 若欲以作者姓名搜尋，建議至進階搜尋限定作者欄位，可獲得較完整資料
    •  進階搜尋
    政大機構典藏 > 商學院 > 統計學系 > 學位論文 >  Item 140.119/148545


    請使用永久網址來引用或連結此文件: https://nccur.lib.nccu.edu.tw/handle/140.119/148545


    題名: 限制式下的潛在空間試題反應理論模型
    Constrained Latent Space Item Response Model
    作者: 林韋成
    貢獻者: 張育瑋
    林韋成
    關鍵詞: 貝氏估計
    fused lasso
    IRT 模型
    Latent Space IRT 模型
    local dependence
    Bayesian estimation
    fused lasso
    IRT model
    Latent Space IRT model
    local dependence
    日期: 2023
    上傳時間: 2023-12-01 13:59:39 (UTC+8)
    參考文獻: 1. Amthauer, R. (1953). Intelligenz-Struktur-Test (IST) [Intelligence Structure Test IST]. Göttingen, Germany: Hogrefe.

    2. Amthauer, R. (1970). Intelligenz-Struktur-Test (IST-70) [Intelligence Structure Test IST70]. Göttingen, Germany: Hogrefe.

    3. Amthauer, R., Brocke, B., Liepmann, D., & Beauducel, A. (2001). Intelligenz-StrukturTest 2000 R (I-S-T 2000 R) [Intelligence Structure Test IST 2000 R]. Göttingen, Germany: Hogrefe.

    4. Bradlow, E. T., Wainer, H., & Wang, X. (1999). A Bayesian random effects model for testlets. Psychometrika, 64, 153-168.

    5. Edwards, M. C., Houts, C. R., & Cai, L. (2018). A Diagnostic Procedure to Detect Departures From Local Independence in Item Response Theory Models. Psychological Methods, 23, 138-149.

    6. Geman, S. & Geman, D. (1984). Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images. IEEE Transactions on Pattern Analysis and Machine Intelligence, 6, 721–741.

    7. Gower, J. C. (1975). Generalized procrustes analysis. Psychometrika, 40, 33–51.

    8. Hastings, W. K. (1970). Monte Carlo sampling methods using Markov chains and their applications. Biometrika, 57, 97–109.

    9. Hoff, P., Raftery, A., & Handcock, M. S. (2002). Latent space approaches to social network analysis. Journal of the American Statistical Association, 97, 1090–1098.

    10. Janssen, A. B. & Geiser, C. (2010). On the relationship between solution strategies in two mental rotation tasks. Learning and Individual Differences, 20, 473-478.

    11. Jeon, M., Jin, I. H., Schweinberger, M., & Baugh, S. (2021). Mapping Unobserved Item–Respondent Interactions: A Latent Space Item Response Model with Interaction Map. Psychometrika, 86, 378–403.

    12. Kyung, M., Gill, J., Ghosh, M., & Casella, G. (2010). Penalized Regression, Standard Errors, and Bayesian Lassos. Bayesian Analysis, 5, 369–412.

    13. Lee, H. & Smith, W. Z. (2020). A Bayesian Random Block Item Response Theory Model for Forced-Choice Formats. Educational and Psychological Measurement, 80, 578–603.

    14. Liu, Y. & Maydeu-Olivares, A. (2012). Local Dependence Diagnostics in IRT Modeling of Binary Data. Educational and Psychological Measurement, 73, 254–274.

    15. Morillo, D., Leenen, I., Abad, F. J., Hontangas, P. de la Torre, J., & Ponsoda, V. (2016). A dominance variant under the multi-unidimensional pairwise-preference framework: Model formulation and Markov Chain Monte Carlo estimation. Applied Psychological Measurement, 40, 500-516.

    16. Putz-Osterloh, W. (1977). Über Problemlöseprozesse bei dem Test Würfelaufgaben aus dem Intelligenzstrukturtest IST und IST-70 von Amthauer [On solution processes in the test cube comparisons from Amthauer’s Intelligence Structure Test IST and IST-70]. Diagnostica, 23, 252−265.

    17. Rasch, G. (1961). On general laws and meaning of measurement in psychology. In Proceedings of the fourth Berkeley symposium on mathematical statistics and probability (volume 4) (pp. 321–333).

    18. Rost, J. (1990). Rasch Models in Latent Classes: An Integration of Two Approaches to Item Analysis. Applied Psychological Measurement, 14, 271-282.

    19. Tibshirani, R. (1996). Regression Shrinkage and Selection Via the Lasso. Journal of the Royal Statistical Society, Series B, 58, 267-288.

    20. Tibshirani, R., Saunders, M., Rosset, S., Zhu, J., & Knight, K. (2005). Sparsity and Smoothness via the Fused Lasso. Journal of the Royal Statistical Society, Series B, 67, 91-108.

    21. Wainer, H., Bradlow, E. T., & Wang, X. (2007). Testlet response theory and its applications. New York, NY: Cambridge University Press.
    描述: 碩士
    國立政治大學
    統計學系
    110354024
    資料來源: http://thesis.lib.nccu.edu.tw/record/#G0110354024
    資料類型: thesis
    顯示於類別:[統計學系] 學位論文

    文件中的檔案:

    檔案 描述 大小格式瀏覽次數
    402401.pdf1111KbAdobe PDF0檢視/開啟


    在政大典藏中所有的資料項目都受到原著作權保護.


    社群 sharing

    著作權政策宣告 Copyright Announcement
    1.本網站之數位內容為國立政治大學所收錄之機構典藏，無償提供學術研究與公眾教育等公益性使用，惟仍請適度，合理使用本網站之內容，以尊重著作權人之權益。商業上之利用，則請先取得著作權人之授權。
    The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

    2.本網站之製作，已盡力防止侵害著作權人之權益，如仍發現本網站之數位內容有侵害著作權人權益情事者，請權利人通知本網站維護人員(nccur@nccu.edu.tw)，維護人員將立即採取移除該數位著作等補救措施。
    NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - 回饋