Equating Method for Small Sample: Comparative research on nominal weight mean and linear method

被引:0
作者
Iriyadi, Deni [1 ]
Rahayu, Wardani [1 ]
Naga, Dali S. [2 ]
机构
[1] Univ Negeri Jakarta, Educ Res & Evaluat, Jakarta, Indonesia
[2] Univ Tarumanagara, Educ Res & Evaluat, Jakarta, Indonesia
来源
PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON EDUCATIONAL SCIENCES AND TEACHER PROFESSION (ICETEP 2018) | 2018年 / 295卷
关键词
equating; small sample; RMSE; nominal weight mean; linear; SCORES;
D O I
暂无
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
The purpose of this study was to determine the effectiveness of the Nominal Weight Mean Equating and Linear methods on equating using a small sample as a tool for teachers to equate students' scores in the class. This research is included in comparative research comparing two equating methods. The number of samples each replication in this research is 30. The data in the study used the UN results for mathematics subjects in 2015 DKI Jakarta area with the number of anchor items 20% of the total items (30 items). From this data, replication is 50 times for each sample. By spreading the average RMSE for each sample according to replication, the small average RMSE value shows a stable measurement result. Among these methods of securing the class, the most stable is NWME. Thus, as a suggestion for teachers to use the NWME method to equalize scores to avoid students in different classes. Thus, discrimination against students can be prevented especially in determining the completeness of learning or graduation.
引用
收藏
页码:178 / 182
页数:5
相关论文
共 50 条
[41]   Product Operating Performance Prediction Based on Small-sample Data Augmentation Method [J].
Liu Z. ;
Zhang N. ;
Qiu C. ;
Tan J. .
Jixie Gongcheng Xuebao/Journal of Mechanical Engineering, 2024, 60 (06) :11-20
[42]   METHOD OF IMPERFECTION RANDOM FIELD CONSTRUCTION FOR WELDED CYLINDRICAL SHELL BASED ON SMALL SAMPLE [J].
Fu, Hong-Fei ;
Shi, Yu-Hong ;
Xv, Wei-Xiu ;
Yang, Fan ;
Yang, Hao ;
Jiang, Liang-Liang .
ADVANCED STEEL CONSTRUCTION, 2025, 21 (01) :64-72
[43]   Classify Text-based Email Using Naive Bayes Method With Small Sample [J].
Zhu, Yanjun ;
Zhu, Ting ;
Li, Jianxin ;
Cao, Wenliang ;
Yong, Peng ;
Jiang, Fei ;
Liu, Jie .
JOURNAL OF INFORMATION SCIENCE AND ENGINEERING, 2023, 39 (04) :855-868
[44]   Gas turbine fault diagnosis method under small sample based on transfer learning [J].
Fu S. ;
Zhong S. ;
Lin L. ;
Zhang Y. .
Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS, 2021, 27 (12) :3450-3461
[45]   Feature Detection Method of Small Sample Poultry Egg Image Based on Prototypical Network [J].
Li Q. ;
Wang Q. .
Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery, 2021, 52 (11) :376-383
[46]   Bearing Fault Diagnosis Method Based on Small Sample Data under Unbalanced Loads [J].
He Q. ;
Tang X. ;
Li C. ;
Lu J. ;
Chen J. .
Zhongguo Jixie Gongcheng/China Mechanical Engineering, 2021, 32 (10) :1164-1171and1180
[47]   Research on a Small-Sample Fault Diagnosis Method for UAV Engines Based on an MSSST and ACS-BPNN Optimized Deep Convolutional Network [J].
Li, Siyu ;
Liu, Zichang ;
Yan, Yunbin ;
Han, Kai ;
Han, Yueming ;
Miao, Xinyu ;
Cheng, Zhonghua ;
Ma, Shifei .
PROCESSES, 2024, 12 (02)
[48]   A Small-Sample Method with EEG Signals Based on Abductive Learning for Motor Imagery Decoding [J].
Zhong, Tianyang ;
Wei, Xiaozheng ;
Shi, Enze ;
Gao, Jiaxing ;
Ma, Chong ;
Wei, Yaonai ;
Zhang, Songyao ;
Guo, Lei ;
Han, Junwei ;
Liu, Tianming ;
Zhang, Tuo .
MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION, MICCAI 2023, PT I, 2023, 14220 :416-424
[49]   Small-Sample Accelerated Life Test Method based on the Inverse Power Law Model [J].
Wang, Yulin ;
Zhou, Bin ;
Ge, Tian ;
Feng, Hutian ;
Tao, Weijun .
APPLIED MATHEMATICS & INFORMATION SCIENCES, 2014, 8 (04) :1725-1730
[50]   NEW SMALL SAMPLE ESTIMATORS FOR COINTEGRATION REGRESSION - LOW-PASS SPECTRAL FILTER METHOD [J].
LI, YK ;
MADDALA, GS ;
RUSH, M .
ECONOMICS LETTERS, 1995, 47 (02) :123-129