口语
发表于 2025-3-21 19:07:21
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宣传
发表于 2025-3-21 23:02:42
Preparing Score Distributions,describe how to prepare the score distributions in order to read them into the different . packages that will be used. Presmoothingthe score distributions as a first step in equating is also discussed. Known data sets appearing in the equating literature, as well as real data examples from an admiss
defenses
发表于 2025-3-22 04:19:25
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strdulate
发表于 2025-3-22 05:44:59
Kernel Equating,ets that were introduced in Chap. . and which have been previously analyzed in the literature. We also illustrate the methods using the . admissions test data set. The . packages . (Andersson et al., J Stat Softw 55(6):1–25, 2013) and . (González, J Stat Softw 59(7), 1–30, 2014) are used throughout
armistice
发表于 2025-3-22 11:18:15
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把手
发表于 2025-3-22 16:40:21
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平躺
发表于 2025-3-22 20:14:21
Recent Developments in Equating,sson et al., J Stat Softw 55(6):1–25, 2013) and . (González, J Stat Softw 59(7):1–30, 2014). The chapter begins with recent developments within the kernel equating framework, including different bandwidth selection methods, the use of different kernels in the continuization step, andIRT kernel equat
fetter
发表于 2025-3-22 21:46:31
2367-170X t covers the issue of including covariates within the equating process, the use of different kernels and ways of selecting bandwidths in kernel equating, and the Bayesian nonparametric estimation of equating fu978-3-319-84750-4978-3-319-51824-4Series ISSN 2367-170X Series E-ISSN 2367-1718
FOR
发表于 2025-3-23 04:02:25
Book 2017 equating and discusses recent developments within the equating field. More specifically it covers the issue of including covariates within the equating process, the use of different kernels and ways of selecting bandwidths in kernel equating, and the Bayesian nonparametric estimation of equating fu
vasospasm
发表于 2025-3-23 08:11:25
Book 2017rm different equating methods when scores data are collected under different data collection designs, such as equivalent groups design, single group design, counterbalanced design and non equivalent groups with anchor test design. The R packages equate, kequate and SNSequate, among others, are used