调和回归在评估质量控制中的模型充分性检验

Q3 Social Sciences ETS Research Report Series Pub Date : 2021-08-08 DOI:10.1002/ets2.12327
Jiahe Qian, Shuhong Li
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引用次数: 2

摘要

近年来,调和回归模型被应用于由多个部门组成并具有季节性的教育评估数据的质量控制。与其他类型的回归模型一样,必须适当地进行模型充分性检查和模型拟合。然而,在教育评估领域,调和回归模型如何对具有季节性的序列数据进行全面的模型充分性评价,目前尚无文献报道。本文旨在填补这一空白,从一个真实的数据说明,从英语语言评估。设计了两种类型的交叉验证,即留一和样本外验证,以测量预测误差并检查模型验证。应用三种类型的r平方(,,和)和各种残差诊断来检查模型充分性和模型拟合。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Model Adequacy Checking for Applying Harmonic Regression to Assessment Quality Control

In recent years, harmonic regression models have been applied to implement quality control for educational assessment data consisting of multiple administrations and displaying seasonality. As with other types of regression models, it is imperative that model adequacy checking and model fit be appropriately conducted. However, there has been no literature on how to perform a comprehensive model adequacy evaluation when applying harmonic regression models to sequential data with seasonality in the educational assessment field. This paper is intended to fill this gap with an illustration of real data from an English language assessment. Two types of cross-validation, leave-one-out and out-of-sample, were designed to measure prediction errors and check model validation. Three types of R-squared (, , and ) and various residual diagnostics were applied to check model adequacy and model fitting.

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来源期刊
ETS Research Report Series
ETS Research Report Series Social Sciences-Education
CiteScore
1.20
自引率
0.00%
发文量
17
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