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Alex Romagnoli – Educational Considerations, 2024
The traditional points system and subsequent Grade Point Average (GPA) in education perpetuates an evaluation of academic performance which reflects arbitrary weighting of assignments and/or assessments. As such, GPAs which are calculated using a traditional points system are not unidimensional in their design. The baseball batting and slugging…
Descriptors: Elementary Secondary Education, Weighted Scores, Team Sports, Grades (Scholastic)
Ke-Hai Yuan; Yong Wen; Jiashan Tang – Grantee Submission, 2022
Structural equation modeling (SEM) and path analysis using composite-scores are distinct classes of methods for modeling the relationship of theoretical constructs. The two classes of methods are integrated in the partial-least-squares approach to structural equation modeling (PLS-SEM), which systematically generates weighted composites and uses…
Descriptors: Statistical Analysis, Weighted Scores, Least Squares Statistics, Structural Equation Models
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Leite, Walter L.; Aydin, Burak; Gurel, Sungur – Journal of Experimental Education, 2019
This Monte Carlo simulation study compares methods to estimate the effects of programs with multiple versions when assignment of individuals to program version is not random. These methods use generalized propensity scores, which are predicted probabilities of receiving a particular level of the treatment conditional on covariates, to remove…
Descriptors: Probability, Weighted Scores, Monte Carlo Methods, Statistical Bias
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Vanhove, Jan – Studies in Second Language Learning and Teaching, 2015
I discuss three common practices that obfuscate or invalidate the statistical analysis of randomized controlled interventions in applied linguistics. These are (a) checking whether randomization produced groups that are balanced on a number of possibly relevant covariates, (b) using repeated measures ANOVA to analyze pretest-posttest designs, and…
Descriptors: Randomized Controlled Trials, Intervention, Applied Linguistics, Statistical Analysis
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Manolov, Rumen; Solanas, Antonio – Psychological Methods, 2012
There is currently a considerable diversity of quantitative measures available for summarizing the results in single-case studies. Given that the interpretation of some of them is difficult due to the lack of established benchmarks, the current article proposes an approach for obtaining further numerical evidence on the importance of the results,…
Descriptors: Sampling, Probability, Statistical Significance, Case Studies
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Scafe, Marla G. – American Journal of Business Education, 2011
The purpose of this study was to evaluate the effectiveness of group testing as a pedagogical technique to enhance learning in a difficult subject such as statistics. Individual test scores were compared to their group test scores for the same, identical test. A t test was used to compare the scores for 157 randomly selected MBA students enrolled…
Descriptors: Group Testing, Individual Testing, Statistical Analysis, Comparative Analysis
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Goldman, Robert N.; McKenzie, John D. Jr. – Teaching Statistics: An International Journal for Teachers, 2009
We explain how to simulate both univariate and bivariate raw data sets having specified values for common summary statistics. The first example illustrates how to "construct" a data set having prescribed values for the mean and the standard deviation--for a one-sample t test with a specified outcome. The second shows how to create a bivariate data…
Descriptors: Correlation, Equated Scores, Statistical Analysis, Weighted Scores
Cahalan, Margaret; Goodwin, David – Pell Institute for the Study of Opportunity in Higher Education, 2014
In January 2009, in the last week of the Bush Administration, the U.S. Department of Education (ED), upon orders from the departing political appointee staff, published the final report in a long running National Evaluation of Upward Bound (UB). The study was conducted by the contractor, Mathematica Policy Research. After more than a year in…
Descriptors: Federal Programs, College Readiness, Access to Education, Data Analysis
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Koopman, Raymond F. – Psychometrika, 1988
A method is presented for investigating two aspects of the sensitivity of a linear composite to the values of its weights. A composite very similar to the original can be produced by weights very different from the original weights. (SLD)
Descriptors: Equations (Mathematics), Scores, Statistical Analysis, Weighted Scores
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Isaacs, Geoffrey; Imrie, Bradford W. – Assessment and Evaluation in Higher Education, 1981
A strategy is described for comparing and weighting student marks on separate performance elements on the basis of statistical analysis and teacher judgment. Differences between nominal and effective weightings are discussed. (MSE)
Descriptors: Comparative Analysis, Grading, Higher Education, Scoring
Blankmeyer, Eric – 1990
Given "T" joint observations on "K" variables, it is frequently useful to consider the weighted average or scaled score. L-scaling is introduced as a technique for determining the weights. The technique is so named because of its resemblance to the Leontief matrix of mathematical economics. L-scaling is compared to two…
Descriptors: Comparative Analysis, Data Analysis, Economics, Mathematical Models
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Dey, Eric L. – Research in Higher Education, 1997
A study investigated the effectiveness of a weighting procedure for adjusting survey results to correct for nonresponse bias. Using data from a Cooperative Institutional Research Program followup survey, results indicate that the procedure is highly effective in univariate distributions; its effectiveness in adjusting correlation and regression…
Descriptors: Data Analysis, Followup Studies, Higher Education, Research Methodology
Mislevy, Robert J. – 1994
Recent developments in cognitive and educational psychology, such as increased appreciation of the situated nature of learning and understanding, call for broader ranges of student models and types of data than those standard in testing today. We must specify how what we observe on the test is related to competence as we conceptualize it, and…
Descriptors: Evaluation Criteria, Inferences, Information Needs, Language Aptitude
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Donnelly, Michael B.; And Others – Journal of Medical Education, 1983
A statistical comparison of Medical College Admission Test scores with National Board of Medical Examiners (NBME) Part I scores of one school's students supported simple averaging of subtest scores rather than weighting as a predictor of NBME Part I performance. Similar results were obtained using basic science course examination scores. (MSE)
Descriptors: College Entrance Examinations, Comparative Analysis, Higher Education, Medical Education