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Lu, Jing; Wang, Chun – Journal of Educational Measurement, 2020
Item nonresponses are prevalent in standardized testing. They happen either when students fail to reach the end of a test due to a time limit or quitting, or when students choose to omit some items strategically. Oftentimes, item nonresponses are nonrandom, and hence, the missing data mechanism needs to be properly modeled. In this paper, we…
Descriptors: Item Response Theory, Test Items, Standardized Tests, Responses
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Zhang, Danhui; Orrill, Chandra; Campbell, Todd – School Science and Mathematics, 2015
The purpose of this study was to investigate whether mixture Rasch models followed by qualitative item-by-item analysis of selected Programme for International Student Assessment (PISA) mathematics and science items offered insight into knowledge students invoke in mathematics and science separately and combined. The researchers administered an…
Descriptors: Qualitative Research, Standardized Tests, Mathematics Achievement, Science Achievement
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Hempenstall, Kerry – Australian Journal of Learning Difficulties, 2012
Response to Intervention (RTI) is a popular if controversial initiative developed largely in the USA, but which is, as yet, little known in general education in Australia. However, this may change given the increased attention to accountability in recent times. The national NAPLAN and international PISA assessments are leading to pressure being…
Descriptors: Accountability, Evidence, Foreign Countries, Response to Intervention
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection