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Lockwood, J. R.; McCaffrey, Daniel F. – Grantee Submission, 2015
Regression, weighting and related approaches to estimating a population mean from a sample with nonrandom missing data often rely on the assumption that conditional on covariates, observed samples can be treated as random. Standard methods using this assumption generally will fail to yield consistent estimators when covariates are measured with…
Descriptors: Simulation, Computation, Statistical Analysis, Statistical Bias
Sondergeld, Toni A.; Beltyukova, Svetlana A.; Fox, Christine M.; Stone, Gregory E. – Mid-Western Educational Researcher, 2012
Scientifically based research used to inform evidence based school reform efforts has been required by the federal government in order to receive grant funding since the reenactment of No Child Left Behind (2002). Educational evaluators are thus faced with the challenge to use rigorous research designs to establish causal relationships. However,…
Descriptors: Research Design, Research Tools, Simulation, Educational Research
Johnson, Paula R.; Boyer, Mark A.; Brown, Scott W. – Globalisation, Societies and Education, 2011
Are students being prepared for the challenges they will face in a globalising world? We investigated whether middle school students were interested in global issues, had knowledge of global issues and possessed the skills needed for competence as a citizen in a globalising world in the context of participating in a five-week, web-based…
Descriptors: Global Education, International Studies, Statistical Analysis, Global Approach
Wang, Qiu – ProQuest LLC, 2010
This study uses a multi-level multivariate propensity score matching approach to examine the synthetic cohort design (SCD) in estimating the schooling effect on mathematics proficiency of the focal cohort 2 (8th graders). Collecting 7th and 8th graders at the same time point, the SCD is sufficient in estimating the schooling effect under the…
Descriptors: Program Evaluation, Structural Equation Models, Grade 8, Cohort Analysis
Pardos, Zachary A.; Heffernan, Neil T. – International Working Group on Educational Data Mining, 2009
Researchers who make tutoring systems would like to know which sequences of educational content lead to the most effective learning by their students. The majority of data collected in many ITS systems consist of answers to a group of questions of a given skill often presented in a random sequence. Following work that identifies which items…
Descriptors: Data Analysis, Bayesian Statistics, Statistical Analysis, Problem Sets
Sondergeld, Toni A. – ProQuest LLC, 2009
This dissertation examines the efficacy of a bottom-up comprehensive school reform (CSR) program by evaluating its impact on student achievement, attendance, and behavior outcomes through an explanatory mixed methods design. The CSR program (Gear Up) was implemented in an urban junior high school over the course of seven years allowing for…
Descriptors: Educational Change, Attendance, Mathematics Achievement, Reading Achievement
Barnes, Tiffany, Ed.; Desmarais, Michel, Ed.; Romero, Cristobal, Ed.; Ventura, Sebastian, Ed. – International Working Group on Educational Data Mining, 2009
The Second International Conference on Educational Data Mining (EDM2009) was held at the University of Cordoba, Spain, on July 1-3, 2009. EDM brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large data sets to answer educational research questions. The increase in instrumented…
Descriptors: Data Analysis, Educational Research, Conferences (Gatherings), Foreign Countries