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Tobar-Muñoz, Hendrys; Baldiris, Silvia; Fabregat, Ramon – Journal of Educational Computing Research, 2017
Program for International Student Assessment results indicate that while reading comprehension needs to be promoted, teachers are struggling to find ways to motivate students to do reading comprehension activities and although technology-enhanced learning approaches are entering the classroom, researchers are still experimenting with them to…
Descriptors: Achievement Tests, Foreign Countries, International Assessment, Secondary School Students
Akcaoglu, Mete; Kale, Ugur – Contemporary Issues in Technology and Teacher Education (CITE Journal), 2016
Engagement in game design tasks can help preservice teachers develop pedagogical and technical skills for teaching and promoting critical thinking and problem-solving skills. Through the design process, preservice teachers not only exercise critical-thinking and problem-solving skills, but also learn about an instructional method to support their…
Descriptors: Games, Educational Games, Computer Games, Preservice Teachers

Powers, William T. – American Behavioral Scientist, 1990
Contrasts modeling methods in control theory to the methods of statistical generalizations in empirical studies of human or animal behavior. Presents a computer simulation that predicts behavior based on variables (effort and rewards) determined by the invariable (desired reward). Argues that control theory methods better reflect relationships to…
Descriptors: Behavior, Causal Models, Comparative Analysis, Computer Simulation

Bissett, Randall; Schneider, Bruce – Psychometrika, 1991
The algorithm developed by B. A. Schneider (1980) for analysis of paired comparisons of psychological intervals is replaced by one proposed by R. M. Johnson. Monte Carlo simulations of pairwise dissimilarities and pairwise conjoint effects show that Johnson's algorithm can provide good metric recovery. (SLD)
Descriptors: Algorithms, Comparative Analysis, Computer Simulation, Equations (Mathematics)
Thayer, Jerome D. – 1986
The stepwise regression method of selecting predictors for computer assisted multiple regression analysis was compared with forward, backward, and best subsets regression, using 16 data sets. The results indicated the stepwise method was preferred because of its practical nature, when the models chosen by different selection methods were similar…
Descriptors: Comparative Analysis, Computer Simulation, Mathematical Models, Multiple Regression Analysis
Lix, Lisa M.; Keselman, H. J. – 1993
Current omnibus procedures for the analysis of interaction effects in repeated measures designs which contain a grouping variable are known to be nonrobust to violations of multisample sphericity, particularly when group sizes are unequal. An alternative approach is to formulate a comprehensive set of contrasts on the data which probe the specific…
Descriptors: Comparative Analysis, Computer Simulation, Equations (Mathematics), Estimation (Mathematics)
Johnson, Colleen Cook – 1993
The purpose of this study is to help define the precise nature and limits of the tolerable range in which a researcher may be relatively confident about the statistical validity of his or her research findings, focusing specifically on the statistical validity of results when violating the assumptions associated with the one-way, fixed-effects…
Descriptors: Analysis of Covariance, Analysis of Variance, Comparative Analysis, Computer Simulation
Zeng, Lingjia – 1991
Large sample standard errors of linear equating for the single-group design are derived without making the normality assumption. Two general methods based on the delta method of M. Kendall and A. Stuart (1977) are described. One method uses the exact partial derivatives, and the other uses numerical derivatives. Simulation using the beta-binomial…
Descriptors: Comparative Analysis, Computer Simulation, Equated Scores, Equations (Mathematics)
Schumacker, Randall E. – 1992
The regression-discontinuity approach to evaluating educational programs is reviewed, and regression-discontinuity post-program mean differences under various conditions are discussed. The regression-discontinuity design is used to determine whether post-program differences exist between an experimental program and a control group. The difference…
Descriptors: Comparative Analysis, Computer Simulation, Control Groups, Cutting Scores