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The Impact of COVID-19 on Students' Marks: A Bayesian Hierarchical Modeling Approach. COVID-19对学生分数的影响：贝叶斯层次建模法
IF 0.8 Q3 STATISTICS & PROBABILITY
Metron-International Journal of Statistics
Pub Date : 2021-01-01 Epub Date: 2021-02-17 DOI: 10.1007/s40300-021-00200-1
Jabed Tomal, Saeed Rahmati, Shirin Boroushaki, Lingling Jin, Ehsan Ahmed

Due to COVID-19, universities across Canada were forced to undergo a transition from classroom-based face-to-face learning and invigilated assessments to online-based learning and non-invigilated assessments. This study attempts to empirically measure the impact of COVID-19 on students' marks from eleven science, technology, engineering, and mathematics (STEM) courses using a Bayesian linear mixed effects model fitted to longitudinal data. The Bayesian linear mixed effects model is designed for this application which allows student-specific error variances to vary. The novel Bayesian missing value imputation method is flexible which seamlessly generates missing values given complete data. We observed an increase in overall average marks for the courses requiring lower-level cognitive skills according to Bloom's Taxonomy and a decrease in marks for the courses requiring higher-level cognitive skills, where larger changes in marks were observed for the underachieving students. About half of the disengaged students who did not participate in any course assessments after the transition to online delivery were in special support.

由于 COVID-19，加拿大各地的大学被迫从课堂面授学习和监考评估过渡到在线学习和非监考评估。本研究试图利用贝叶斯线性混合效应模型对纵向数据进行拟合，以实证方法衡量 COVID-19 对 11 门科学、技术、工程和数学（STEM）课程学生分数的影响。贝叶斯线性混合效应模型是专为这一应用而设计的，它允许学生的特定误差方差发生变化。新颖的贝叶斯缺失值估算方法非常灵活，可以在数据完整的情况下无缝生成缺失值。我们观察到，根据布卢姆分类法，需要较低认知技能的课程的总平均分数有所提高，而需要较高认知技能的课程的分数则有所下降，其中成绩较差的学生的分数变化较大。在过渡到在线授课后没有参加任何课程评估的失学学生中，约有一半属于特殊支持学生。
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引用次数: 0
Robust functional principal components for sparse longitudinal data 稀疏纵向数据的鲁棒函数主成分
IF 0.8 Q3 STATISTICS & PROBABILITY
Metron-International Journal of Statistics
Pub Date : 2020-12-02 DOI: 10.1007/s40300-020-00193-3
G. Boente, M. Salibian-Barrera
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引用次数: 11
The Kruskal–Wallis tests are Cochran–Mantel–Haenszel mean score tests Kruskal-Wallis测试是Cochran-Mantel-Haenszel平均分数测试
IF 0.8 Q3 STATISTICS & PROBABILITY
Metron-International Journal of Statistics
Pub Date : 2020-11-10 DOI: 10.1007/s40300-020-00192-4
J. Rayner, G. Livingston
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引用次数: 7
Brq: an R package for Bayesian quantile regression Brq:贝叶斯分位数回归的R包
IF 0.8 Q3 STATISTICS & PROBABILITY
Metron-International Journal of Statistics
Pub Date : 2020-10-27 DOI: 10.1007/s40300-020-00190-6
Rahim Alhamzawi, Haithem Taha Mohammad Ali
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引用次数: 20
Bayesian estimation for threshold autoregressive model with multiple structural breaks 多结构断裂阈值自回归模型的贝叶斯估计
IF 0.8 Q3 STATISTICS & PROBABILITY
Metron-International Journal of Statistics
Pub Date : 2020-10-23 DOI: 10.1007/s40300-020-00188-0
V. Agiwal, Jitendra Kumar
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引用次数: 1
Robust estimation for multivariate wrapped models 多元包裹模型的鲁棒估计
IF 0.8 Q3 STATISTICS & PROBABILITY
Metron-International Journal of Statistics
Pub Date : 2020-10-16 DOI: 10.1007/s40300-021-00214-9
G. Saraceno, C. Agostinelli, L. Greco
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引用次数: 3
Sensitivity of inequality measures considering regressive transfers with fixed relative income distance 考虑固定相对收入距离的回归转移的不平等测度敏感性
IF 0.8 Q3 STATISTICS & PROBABILITY
Metron-International Journal of Statistics
Pub Date : 2020-10-09 DOI: 10.1007/s40300-020-00189-z
R. Hoffmann, D. C. Botassio
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引用次数: 0
Clustering non-linear interactions in factor analysis 因子分析中的非线性交互作用聚类
IF 0.8 Q3 STATISTICS & PROBABILITY
Metron-International Journal of Statistics
Pub Date : 2020-09-17 DOI: 10.1007/s40300-020-00186-2
Erick da Conceição Amorim, V. D. Mayrink
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引用次数: 0
On general asymptotically second-order efficient purely sequential fixed-width confidence interval (FWCI) and minimum risk point estimation (MRPE) strategies for a normal mean and optimality 正态均值和最优性的一般渐近二阶有效纯序列定宽置信区间(FWCI)和最小风险点估计(MRPE)策略
IF 0.8 Q3 STATISTICS & PROBABILITY
Metron-International Journal of Statistics
Pub Date : 2020-09-16 DOI: 10.1007/s40300-020-00187-1
N. Mukhopadhyay, Srawan Kumar Bishnoi
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引用次数: 3
Stochastic dominance relations for generalised parametric distributions obtained through composition 合成广义参数分布的随机优势关系
IF 0.8 Q3 STATISTICS & PROBABILITY
Metron-International Journal of Statistics
Pub Date : 2020-08-27 DOI: 10.1007/s40300-020-00184-4
T. Lando, L. Bertoli-Barsotti
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引用次数: 1
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