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Jaylin Lowe; Charlotte Z. Mann; Jiaying Wang; Adam Sales; Johann A. Gagnon-Bartsch – Grantee Submission, 2024
Recent methods have sought to improve precision in randomized controlled trials (RCTs) by utilizing data from large observational datasets for covariate adjustment. For example, consider an RCT aimed at evaluating a new algebra curriculum, in which a few dozen schools are randomly assigned to treatment (new curriculum) or control (standard…
Descriptors: Randomized Controlled Trials, Middle School Mathematics, Middle School Students, Middle Schools
Gomes, Cristiano Mauro Assis; Almeida, Leandro S. – Practical Assessment, Research & Evaluation, 2017
Predictive studies have been widely undertaken in the field of education to provide strategic information about the extensive set of processes related to teaching and learning, as well as about what variables predict certain educational outcomes, such as academic achievement or dropout. As in any other area, there is a set of standard techniques…
Descriptors: Predictive Measurement, Statistical Analysis, Decision Making, Foreign Countries
Williamson, Ben – Journal of Education Policy, 2016
Educational institutions and governing practices are increasingly augmented with digital database technologies that function as new kinds of policy instruments. This article surveys and maps the landscape of digital policy instrumentation in education and provides two detailed case studies of new digital data systems. The Learning Curve is a…
Descriptors: Visualization, Synchronous Communication, Governance, Data Collection
Tanner-Smith, Emily E.; Lipsey, Mark W. – Peabody Journal of Education, 2014
There are many situations where random assignment of participants to treatment and comparison conditions may be unethical or impractical. This article provides an overview of propensity score techniques that can be used for estimating treatment effects in nonrandomized quasi-experimental studies. After reviewing the logic of propensity score…
Descriptors: Probability, Scores, Quasiexperimental Design, High Schools
Pacheco, Wendy I.; Noel, Richard J., Jr.; Porter, James T.; Appleyard, Caroline B. – CBE - Life Sciences Education, 2015
The use and validity of the Graduate Record Examination General Test (GRE) to predict the success of graduate school applicants is heavily debated, especially for its possible impact on the selection of underrepresented minorities into science, technology, engineering, and math fields. To better identify candidates who would succeed in our program…
Descriptors: Puerto Ricans, Predictor Variables, Success, Doctoral Programs
Kim, Su-Young; Kim, Jee-Seon – Structural Equation Modeling: A Multidisciplinary Journal, 2012
This article investigates three types of stage-sequential growth mixture models in the structural equation modeling framework for the analysis of multiple-phase longitudinal data. These models can be important tools for situations in which a single-phase growth mixture model produces distorted results and can allow researchers to better understand…
Descriptors: Structural Equation Models, Data Analysis, Research Methodology, Longitudinal Studies
Richards, Adam S. – Communication Education, 2012
This case study of the Department of Communication at the University of Maryland demonstrates the need to consider course sequencing in the communication curriculum. The investigation assessed whether the order in which undergraduates took courses predicted grade performance. Students' (N = 6,166) grade data from earlier courses were used to…
Descriptors: Program Effectiveness, Introductory Courses, Curriculum Development, Social Sciences
Proctor, Thomas P.; Kim, YoungKoung Rachel – College Board, 2010
The purpose of this paper is to provide information about how students' scores change when they retake the PSAT/NMSQT as juniors or take the SAT in the spring after they take the PSAT/NMSQT as juniors. Two research questions guided this study and motivated the approach for analysis of the data: How do scores change for students who took the…
Descriptors: Scores, Achievement Gains, Bayesian Statistics, College Entrance Examinations
Cox, John L. – International Journal of Educational Advancement, 2011
This study examined the relationship between and among the changes in the level of institutional fundraising and changes in state funding at Maryland public 4-year institutions. As institutions have become more engaged in fundraising, the impact of private giving success on changes in state funding becomes more apparent in the context of increased…
Descriptors: Fund Raising, Institutional Advancement, Educational Finance, Statistical Significance
Burstein, Leigh – 1975
Since problems associated with the statistical methodology of educational research are becoming increasingly important, this paper examines a subset of problems associated with the analysis and interpretation of aggregated data. Two major questions arise: (1) if a researcher knows the level (e.g., individual, teacher/classroom, school, school…
Descriptors: Data Analysis, Data Collection, Data Processing, Educational Research
Western, Drew; Weinberger, Joel – American Psychologist, 2004
This article reconsiders the issue of clinical versus statistical prediction. The term clinical is widely used to denote 1 pole of 2 independent axes: the observer whose data are being aggregated (clinician/expert vs. lay) and the method of aggregating those data (impressionistic vs. statistical). Fifty years of research suggests that when…
Descriptors: Psychometrics, Prediction, Inferences, Predictive Measurement
Florida State Dept. of Education, Tallahassee. Div. of Elementary and Secondary Education. – 1974
This report briefly describes and analyzes several of the most frequently used techniques for depicting trends and making projections of education statistics. Each technique is described simply and nontechnically, with its uses and shortcomings, and a step-by-step analytical and graphic example and explanation. Projection techniques described…
Descriptors: Data Analysis, Graphs, Predictive Measurement, Research Methodology
Peer reviewedBunda, Mary Anne – Journal of Educational Measurement, 1973
Procedures to be applicable in situations in which large numbers of individuals are tested or in situations where multiple measures are taken. (Author/CB)
Descriptors: Data Collection, Group Norms, Individual Testing, Item Sampling
Oi, Walter Y. – 1974
The working paper concentrates on the general objective, "How do the agency (Federal) and its policy makers utilize the information conveyed by scientific manpower forecasts?" Section 1 examines reasons for the growth in demand for these forecasts: (1) benefit cost analysis of public projects with long payout periods must rely on forecasts; (2)…
Descriptors: Data Collection, Doctoral Degrees, Employment Opportunities, Employment Patterns
Garms, Walter I.; Smith, Mark C. – 1969
This study concerns the development of a measure of educational need and its use in a State school support formula in New York. The study assumes that public schools should operate positively to further equality of opportunity and that schools are able to affect achievement levels and rates of learning. The present State-aid formula is not…
Descriptors: Academic Achievement, Arithmetic, Data Analysis, Data Collection

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