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Safar, Ammar H.; Al-Jafar, Ali A.; Al-Yousefi, Zainab H. – EURASIA Journal of Mathematics, Science & Technology Education, 2017
This experimental research study scrutinized the effectiveness of using augmented reality (AR) applications (apps) as a teaching and learning tool when instructing kindergarten children in the English alphabet in the State of Kuwait. The study compared two groups: (a) experimental, taught using AR apps, and (b) control, taught using traditional…
Descriptors: Foreign Countries, Computer Simulation, Simulated Environment, Computer Oriented Programs
Strang, Kenneth David – Decision Sciences Journal of Innovative Education, 2012
An experiment compared asynchronous versus synchronous instruction in an online quantitative course. Mann-Whitney U-tests, correlation, analysis of variance, t tests, and multivariate analysis of covariance (MANCOVA) were utilized to test the hypothesis that more high-quality online experiential learning interactions would increase grade.…
Descriptors: Synchronous Communication, Interaction, Statistical Analysis, Business Administration
Betz, M. Austin – 1976
Simultaneous test procedures (STPS for short) in the context of the unrestricted full rank general linear multivariate model for population cell means are introduced and utilized to analyze interactions in factorial designs. By appropriate choice of an implying hypothesis, it is shown how to test overall main effects, interactions, simple main,…
Descriptors: Analysis of Variance, Hypothesis Testing, Interaction, Mathematical Models
Lewis, Ernest L.; Mouw, John T. – 1972
This paper discusses the use of contrast coefficients in multiple linear regression models, and shows how they can provide for a logical method of analysis in both the analysis of variance and the analysis of covariance. (CK)
Descriptors: Analysis of Covariance, Analysis of Variance, Hypothesis Testing, Interaction
Miller, Michael K.; Farmer, Frank L. – 1986
Theories employed to explain regularities in social behavior often contain explicit or implicit reference to the presence of nonlinear and/or nonadditive (i.e., multiplicative) relationships among germane variables. While such nonadditive features are theoretically important, the inclusion of quadratic or multiplicative terms in structural…
Descriptors: Data Analysis, Hypothesis Testing, Interaction, Models
Peer reviewedMcLaughlin, Donald H. – Educational and Psychological Measurement, 1975
Develops a testing procedure based on a model including treatment effects on residual variances. (Author/RC)
Descriptors: Analysis of Variance, Aptitude Treatment Interaction, Hypothesis Testing, Interaction
Pohlmann, John T. – 1972
The Monte Carlo method was used, and the factors considered were (1) level of main effects in the population; (2) level of interaction effects in the population; (3) alpha level used in determining whether to pool; and (4) number of degrees of freedom. The results indicated that when the ratio degrees of freedom (axb)/degrees of freedom (within)…
Descriptors: Analysis of Variance, Computer Programs, Factor Analysis, Hypothesis Testing
Forster, Fred – 1971
Statistical methods are described for diagnosing and treating three important problems in covariate tests of significance: curvilinearity, covariable effectiveness, and treatment-covariable interaction. Six major assumptions, prerequisites for covariate procedure, are discussed in detail: (1) normal distribution, (2) homogeneity of variances, (3)…
Descriptors: Analysis of Covariance, Classification, Computer Programs, Hypothesis Testing

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