Titlebook: Quantitative Psychology; The 88th Annual Meet Marie Wiberg,Jee-Seon Kim,Heungsun Hwang,Hao Wu,Tr Conference proceedings 2024 The Editor(s)

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書目名稱Quantitative Psychology影響因子(影響力)




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書目名稱Quantitative Psychology網絡公開度




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978-3-031-55550-3The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

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Quantitative Psychology978-3-031-55548-0Series ISSN 2194-1009 Series E-ISSN 2194-1017

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https://doi.org/10.1007/978-3-031-55548-0Informatics; Conference Proceedings; Research; Applications; IMPS 2023; psychometrics; item response theor

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A Family of Discrete Kernels for Presmoothing Test Score Distributions,core distributions are discrete and may have irregularities, it has been common practice to use presmoothing techniques to correct for such irregularities of the score distributions. A common way to conduct presmoothing has been to use log-linear models..In this chapter, we introduce a novel class o

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Priors in Bayesian Estimation Under the Graded Response Model,s of the prior distributions. A Bayesian estimation method, Gibbs sampling, was compared with the marginal Bayesian estimation method using empirical data. The effects of the priors and their specifications on both item and ability parameter estimates are demonstrated. Issues in Bayesian estimation,

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A Two-Stage Approach to a Latent Variable Mixed-Effects Location-Scale Model,scale models include distinct variance models to permit study of heterogeneity of within- and between-subject variation. Recent developments have extended the model to address measurement error in the longitudinal response. Accounting for variation in the response that is due to measurement error is

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