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Bernard, Robert M.; Borokhovski, Eugene; Schmid, Richard F.; Tamim, Rana M. – Journal of Computing in Higher Education, 2014
This article contains a second-order meta-analysis and an exploration of bias in the technology integration literature in higher education. Thirteen meta-analyses, dated from 2000 to 2014 were selected to be included based on the questions asked and the presence of adequate statistical information to conduct a quantitative synthesis. The weighted…
Descriptors: Meta Analysis, Bias, Technology Integration, Higher Education
Haardorfer, Regine; Gagne, Phill – Focus on Autism and Other Developmental Disabilities, 2010
Some researchers have argued for the use of or have attempted to make use of randomization tests in single-subject research. To address this tide of interest, the authors of this article describe randomization tests, discuss the theoretical rationale for applying them to single-subject research, and provide an overview of the methodological…
Descriptors: Research Design, Researchers, Evaluation Methods, Research Methodology
Robinson, Timothy J.; Brenneman, William A.; Myers, William R. – Journal of Statistics Education, 2009
While split-plot designs have received considerable attention in the literature over the past decade, there seems to be a general lack of intuitive understanding of the error structure of these designs and the resulting statistical analysis. Typically, students learn the proper error terms for testing factors of a split-plot design via "expected…
Descriptors: Research Design, Statistical Analysis, Graphs, Intuition
Manolov, Rumen; Solanas, Antonio; Bulte, Isis; Onghena, Patrick – Journal of Experimental Education, 2010
This study deals with the statistical properties of a randomization test applied to an ABAB design in cases where the desirable random assignment of the points of change in phase is not possible. To obtain information about each possible data division, the authors carried out a conditional Monte Carlo simulation with 100,000 samples for each…
Descriptors: Monte Carlo Methods, Effect Size, Simulation, Evaluation Methods
Pituch, Keenan A.; Stapleton, Laura M. – Multivariate Behavioral Research, 2008
A Monte Carlo study compared the statistical performance of standard and robust multilevel mediation analysis methods to test indirect effects for a cluster randomized experimental design under various departures from normality. The performance of these methods was examined for an upper-level mediation process, where the indirect effect is a fixed…
Descriptors: Research Design, Monte Carlo Methods, Statistical Analysis, Error Patterns
Luh, Wei-Ming; Guo, Jiin-Huarng – Journal of Experimental Education, 2009
The sample size determination is an important issue for planning research. However, limitations in size have seldom been discussed in the literature. Thus, how to allocate participants into different treatment groups to achieve the desired power is a practical issue that still needs to be addressed when one group size is fixed. The authors focused…
Descriptors: Sample Size, Research Methodology, Evaluation Methods, Simulation
Di Gennaro, Kristen K. – ProQuest LLC, 2011
A growing body of research suggests that the writing ability of international second language learners (IL2) and US-resident second language learners, also referred to as Generation 1.5 (G1.5), differs, despite a dearth of substantial empirical evidence supporting such claims. The present study provides much-needed empirical evidence concerning…
Descriptors: Writing Difficulties, Research Design, Methods Research, Grammar
Forster, K. I.; Dickinson, R. G. – Journal of Verbal Learning and Verbal Behavior, 1976
The properties of four different tests of the treatment effect in experiments using linguistic materials are examined. (Author/RM)
Descriptors: Cognitive Processes, Error Patterns, Experiments, Language Research
Clark, Herbert H. – Journal of Verbal Learning and Verbal Behavior, 1973
Research supported by a grant from the Public Health Service, National Institute of Mental Health. (DD)
Descriptors: Bibliographies, Diagrams, Error Patterns, Language Research
Pohlmann, John T. – 1979
Three procedures used to control Type I error rate in stepwise regression analysis are forward selection, backward elimination, and true stepwise. In the forward selection method, a model of the dependent variable is formed by choosing the single best predictor; then the second predictor which makes the strongest contribution to the prediction of…
Descriptors: Computer Programs, Error Patterns, Mathematical Models, Multiple Regression Analysis
Padia, William L. – 1977
Campbell (l969) argued for the interrupted time-series experiment as a useful methodology for testing intervention effects in the social sciences. The validity of the statistical hypothesis testing of time-series, is, however, dependent upon the proper identification of the underlying stochastic nature of the data. Several types of model…
Descriptors: Error Patterns, Hypothesis Testing, Mathematical Models, Probability
Linn, Robert L.; Werts, Charles E. – 1971
Failure to consider errors of measurement when using partial correlation or analysis of covariance techniques can result in erroneous conclusions. Certain aspects of this problem are discussed and particular attention is given to issues raised in a recent article by Brewar, Campbell, and Crano. (Author)
Descriptors: Analysis of Covariance, Analysis of Variance, Comparative Analysis, Correlation
Levy, Paul S.; French, Dwight K. – 1977
Synthetic estimation is a statistical technique that estimates small-area statistics by combining national estimates of the relevant characteristics with estimates of other known characteristics of the small geographic area. The advantages of the synthetic estimation approach to local estimation are its intuitive appeal, its simplicity, and its…
Descriptors: Census Figures, Data Collection, Demography, Error Patterns
Advanced Technology, Inc., Reston, VA. – 1983
The issues, options, and procedures for annually measuring overall payment error in the Pell Grant program are specified in detail. Guidelines for establishing a definition of Pell Grant payment error are provided, and the design issues related to error measurement are examined. A comparison is made of options for selecting a study sample and for…
Descriptors: Accountability, Compliance (Legal), Costs, Data Collection