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Amanda Katherine Riske – ProQuest LLC, 2022
This three-article dissertation considers the pedagogical practices for developing statistically literate students and teaching data-driven decision-making with the goal of preparing students for civic engagement and improving student achievement. The first article discusses a critical review of the literature on data-driven decision-making…
Descriptors: Teaching Methods, Data Use, Decision Making, Educational Practices
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
Chen, Qian – International Journal of Science and Mathematics Education, 2014
In this study, the Trends in International Mathematics and Science Study 2007 data were used to build mathematics achievement models of fourth graders in two East Asian school systems: Hong Kong and Singapore. In each school system, eight variables at student level and nine variables at school/class level were incorporated to build an achievement…
Descriptors: Foreign Countries, Mathematics Achievement, Grade 4, Mathematics Tests
Wendt, Heike; Kasper, Daniel; Trendtel, Matthias – Large-scale Assessments in Education, 2017
Background: Large-scale cross-national studies designed to measure student achievement use different social, cultural, economic and other background variables to explain observed differences in that achievement. Prior to their inclusion into a prediction model, these variables are commonly scaled into latent background indices. To allow…
Descriptors: Measurement, Achievement Tests, Cultural Differences, Socioeconomic Influences
Kiray, S. Ahmet; Gok, Bilge; Bozkir, A. Selman – Online Submission, 2015
The purpose of this article is to identify the order of significance of the variables that affect science and mathematics achievement in middle school students. For this aim, the study deals with the relationship between science and math in terms of different angles using the perspectives of multiple causes-single effect and of multiple…
Descriptors: Science Achievement, Mathematics Achievement, Information Retrieval, Data Analysis
Fang, Zheng; Xu, Xianxuan; Grant, Leslie W.; Stronge, James H.; Ward, Thomas J. – Creativity Research Journal, 2016
Using Hofstede's culture dimensions and World Values Survey (WVS) dimensions, the study uses a series of multiple regressions to explore the relationship among national culture, creativity as measured by patents, economic productivity as measured by gross domestic product per capita, and student achievement as measured by Trends in International…
Descriptors: Creativity, Productivity, Surveys, Multiple Regression Analysis
Nilsen, Trude; Gustafsson, Jan-Eric – Educational Research and Evaluation, 2014
We study whether changes in school emphasis on academic success (SEAS) and safe schools (SAFE) may explain the increased science performance in Norway between TIMSS 2007 and 2011. Two-level structural equation modelling (SEM) of merged TIMSS data was used to investigate whether changes in levels of SEAS and SAFE mediate the changes in science…
Descriptors: Academic Achievement, Success, Science Achievement, Performance Based Assessment
Kozina, Ana – Educational Studies, 2015
In this study, we analyse the predictive power of home and school environment-related factors for determining pupils' aggression. The multiple regression analyses are performed for fourth- and eighth-grade pupils based on the Trends in Mathematics and Science Study (TIMSS) 2007 (N = 8394) and TIMSS 2011 (N = 9415) databases for Slovenia. At the…
Descriptors: Aggression, Elementary Schools, Predictive Validity, Educational Environment
Kiray, S. Ahmet; Gok, Bilge; Bozkir, A. Selman – Journal of Education in Science, Environment and Health, 2015
The purpose of this article is to identify the order of significance of the variables that affect science and mathematics achievement in middle school students. For this aim, the study deals with the relationship between science and math in terms of different angles using the perspectives of multiple causes-single effect and of multiple…
Descriptors: Science Achievement, Information Retrieval, Data Analysis, Middle School Students
Trautwein, Ulrich; Marsh, Herbert W.; Nagengast, Benjamin; Ludtke, Oliver; Nagy, Gabriel; Jonkmann, Kathrin – Journal of Educational Psychology, 2012
In modern expectancy-value theory (EVT) in educational psychology, expectancy and value beliefs additively predict performance, persistence, and task choice. In contrast to earlier formulations of EVT, the multiplicative term Expectancy x Value in regression-type models typically plays no major role in educational psychology. The present study…
Descriptors: Predictor Variables, Educational Psychology, Structural Equation Models, Beliefs
Matsuoka, Ryoji – Educational Studies in Japan: International Yearbook, 2014
Japanese compulsory education had been praised because of its equality around the early 80s. However, since the third wave-educational reform that began in the 1980s and still persists, it has been pointed out that there are disparities between schools in terms of students' socioeconomic background and academic performance. Although there have…
Descriptors: Foreign Countries, Compulsory Education, Educational Change, Socioeconomic Background
Cho, Mee-Ok; Scherman, Vanessa; Gaigher, Estelle – African Journal of Research in Mathematics, Science and Technology Education, 2012
This paper reports on secondary analysis of TIMSS 2003 data, based on a sound conceptual model, aiming to explain differential science achievement in South Africa from the perspective of educational effectiveness research. The conceptual framework was developed by refining existing school effectiveness models and including factors related to…
Descriptors: Science Education, Instructional Effectiveness, Correlation, Hierarchical Linear Modeling