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Rasmussen, Clay L.; Byrd, David R. – Journal of Online Learning Research, 2016
The purpose of this study was to determine the effectiveness of a teacher professional development (PD) program as measured by the extent that participants have continued to use lessons and materials up to three years after the PD experience. The PD was delivered online and structured by five key characteristics of effective PD. A…
Descriptors: Faculty Development, Online Courses, Program Effectiveness, Scores
Warne, Russell T.; Nagaishi, Chanel; Slade, Michael K.; Hermesmeyer, Paul; Peck, Elizabeth Kimberli – NASSP Bulletin, 2014
While research has shown the statistical significance of high school grade point averages (HSGPAs) in predicting future academic outcomes, the systems with which HSGPAs are calculated vary drastically across schools. Some schools employ unweighted grades that carry the same point value regardless of the course in which they are earned; other…
Descriptors: Grade Point Average, Weighted Scores, Low Income, College Students
Xi, Xiaoming; Higgins, Derrick; Zechner, Klaus; Williamson, David – Language Testing, 2012
This paper compares two alternative scoring methods--multiple regression and classification trees--for an automated speech scoring system used in a practice environment. The two methods were evaluated on two criteria: construct representation and empirical performance in predicting human scores. The empirical performance of the two scoring models…
Descriptors: Scoring, Classification, Weighted Scores, Comparative Analysis
Morris, John D. – 1978
Several advantages to the use of factor scores as independent variables in a multiple regression equation were found. To help select the most desirable type of factor score on which to calculate a regression equation, computer-based Monte Carlo methods were used to compare the predictive accuracy upon replication of regression of five…
Descriptors: Comparative Analysis, Correlation, Factor Analysis, Multiple Regression Analysis
Sternberg, Saul; And Others – 1986
Because analyses of reaction-time data are sensitive to aberrant observations and violations of statistical assumptions, a new approach is suggested. In this empirical approach, one applies the same criteria to the problem of selecting a statistical method as one uses to select among alternative experimental procedures. Six criteria are presented…
Descriptors: Comparative Analysis, Evaluation Criteria, Goodness of Fit, Least Squares Statistics