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Using Data Mining to Model Student Achievement on the 4th Grade TIMSS 2015 Mathematics Assessment: A Five Nation Study
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Siemssen, Annette M. – ProQuest LLC, 2018
Data mining has been successfully used by financial and retail companies since the mid-1960's to create predictive models and reveal unexpected relationships. However, it remains underutilized as a tool in educational research. Large-scale standardized assessment programs such as the Trends in International Mathematics and Science Study (TIMSS)…
Descriptors: Foreign Countries, Comparative Education, Information Retrieval, Data Analysis
Applying the Pseudo-Panel Approach to International Large-Scale Assessments: A Methodology for Analyzing Subpopulation Trend Data
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Hooper, Martin – ProQuest LLC, 2017
TIMSS and PIRLS assess representative samples of students at regular intervals, measuring trends in student achievement and student contexts for learning. Because individual students are not tracked over time, analysis of international large-scale assessment data is usually conducted cross-sectionally. Gustafsson (2007) proposed examining the data…
Descriptors: Achievement Tests, Foreign Countries, Elementary Secondary Education, International Assessment
Education Reforms and Innovations to Improve Student Assessment Performance
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McAfee, Wade J. – ProQuest LLC, 2014
International assessments such as the Trends in International Mathematics and Science Study (TIMSS) and Program for International Student Assessment (PISA) have exhibited United States students specifically in the fourth and eighth grades, are not performing well when compared to their international peers. Educational stakeholders including…
Descriptors: Educational Change, Educational Innovation, Student Evaluation, Grade 4
A Multilevel Multidimensional Item Response Theory Model to Address the Role of Response Style on Measurement of Attitudes in PISA 2006
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Lu, Yi – ProQuest LLC, 2012
Cross-national comparisons of responses to survey items are often affected by response style, particularly extreme response style (ERS). ERS varies across cultures, and has the potential to bias inferences in cross-national comparisons. For example, in both PISA and TIMSS assessments, it has been documented that when examined within countries,…
Descriptors: Item Response Theory, Attitude Measures, Response Style (Tests), Cultural Differences