[1]康春花,孙小坚,顾士伟,等.多水平多维IRT模型在学业质量监测中的应用[J].江西师范大学学报(自然科学版),2016,40(02):140-144.
 KANG Chunhua,SUN Xiaojian,GU Shiwei,et al.The Application of Multilevel Multidimensional IRT Model in Academic Quality Monitoring Test[J].Journal of Jiangxi Normal University:Natural Science Edition,2016,40(02):140-144.
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多水平多维IRT模型在学业质量监测中的应用()
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《江西师范大学学报》(自然科学版)[ISSN:1006-6977/CN:61-1281/TN]

卷:
40
期数:
2016年02期
页码:
140-144
栏目:
出版日期:
2016-03-25

文章信息/Info

Title:
The Application of Multilevel Multidimensional IRT Model in Academic Quality Monitoring Test
作者:
康春花;孙小坚;顾士伟;曾平飞
浙江师范大学教师教育学院,浙江 金华 321004
Author(s):
KANG ChunhuaSUN XiaojianGU ShiweiZENG Pingfei
College of Teacher Education,Zhejiang Normal University,Jinhua Zhejiang 321004,China
关键词:
多水平多维IRT模型 学业能力 质量监测 父母受教育程度
Keywords:
multilevel multidimensional IRT model academic achievement quality monitoring education background of parents
分类号:
B 842.1
文献标志码:
A
摘要:
用多水平多维IRT(ML-MIRT)模型对学生学业情况进行分析,进而拓宽该模型的适用范围.首先采用不包含任何预测变量的零模型对项目参数和学生参数进行分析,然后使用包含学生预测变量的ML-MIRT模型分析2个预测变量对学生学业能力的影响.研究结果表明:试题的难度基本上贯穿了整个能力量尺,试题也具有较好的区分度,3个能力维度的跨级相关系数均达到了显著性水平,父亲的受教育程度对学生的3个能力维度均有显著影响,而母亲的受教育程度无显著影响.因此,编制的测验较为合理,ML-MIRT模型适用于监测学生学业水平,父亲的受教育程度对学生学业水平有着重要影响.
Abstract:
Analysis the academic achievement of students with multilevel multidimensional IRT(ML-MIRT)model,and expand the application field of the model.First,use the zero model,which does not contain any predictor,to analysis the item and person parameters; then use the ML-MIRT model that contains two predictors about students to explore the impact of the predictors on students' academic achievement.Difficulty of these items and the ability scale is matching,and most of items have good discrimination,the intraclass correlation coefficients(ICC)of the three abilities are significant,the education background of father affects the three abilities of students significantly,while the education background of mother doesn't affect them.The test is reasonable,and the ML-MIRT model is appropriate,also and the education background of father plays an important role for children's academic achievement.

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备注/Memo

备注/Memo:
基金项目:浙江省自然科学基金(LY15C090003)和教育部基础教育质量监测中心课题(2014AC001-D)资助项目.
更新日期/Last Update: 1900-01-01