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    題名: Bayesian inference with spike-and-slab priors for differential item functioning detection in a multiple-group IRT tree model
    作者: 張育瑋
    Chang, Yu-Wei;Yang, Cheng-Xin
    貢獻者: 統計系
    關鍵詞: Bayesian estimation;differential item functioning;item response theory tree model;missing data;spike-and-slab priors
    日期: 2024-05
    上傳時間: 2024-03-26 15:24:05 (UTC+8)
    摘要: Group differences have practical implications in analysing data from achievement tests or questionnaires. In the current study, we develop a model that accounts for between-group differences, differential item functioning (DIF), latent factors, and missing item response data simultaneously. Different from most of the present DIF studies where one has to iteratively select anchor items and detect DIF items, we achieve DIF detection and parameter estimation simultaneously by properly reparameterizing model parameters and applying some spike-and-slab priors (Ishwaran & Rao, Spike and slab variable selection: frequentist and Bayesian strategies. Ann Stat. 2005a;33:730–773; Ročková & George, The spike-and-slab LASSO. J Am Stat Assoc. 2018;113:431–444) in Bayesian estimation. Simulation studies are conducted to illustrate the validation of the proposed estimation procedure and the efficiency of DIF detection. The proposed method is further applied to a real dataset for illustration.
    關聯: Journal of Statistical Computation and Simulation, Vol.94, No.7, pp.1416-1444
    資料類型: article
    DOI 連結: https://doi.org/10.1080/00949655.2023.2289056
    DOI: 10.1080/00949655.2023.2289056
    顯示於類別:[統計學系] 期刊論文

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