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Aiken, Lewis R. – 1979
Although the Statistical Package for the Social Sciences (SPSS) contains no subprogram that is complete in itself for analyzing repeated measures or mixed designs analysis of variance, subprogram ANOVA can be used to obtain almost all the required sums of squares for repeated measures designs, mixed designs having repeated measures on some…
Descriptors: Analysis of Variance, Computer Programs, Research Design, Statistical Significance
Peer reviewedVanBerschot, S. N. – Educational and Psychological Measurement, 1979
An error is described that may occur in a posteriori testing, particularly when the original analysis of variance produces an F ratio that is just barely significant and the computer printout of the analysis does not provide the means that were used in the program. (Author/JKS)
Descriptors: Analysis of Variance, Comparative Analysis, Computer Programs, Statistical Significance
Halperin, Silas – 1976
There are good reasons for the growing popularity of Monte Carlo procedures; but with increasing use comes increasing misuse. A variety of exact and approximate alternatives should be considered before one chooses to approach a problem with Monte Carlo methods. Once it has been decided that simulation is desirable, consideration should be given to…
Descriptors: Computer Programs, Hypothesis Testing, Monte Carlo Methods, Research Methodology
Tatsuoka, Maurice M. – 1973
A computer-simulated study was made of the sampling distribution of omega squared, a measure of strength of relationship in multivariate analysis of variance which had earlier been proposed by the author. It was found that this measure was highly positively biased when the number of variables is large and the sample size is small. A correction…
Descriptors: Analysis of Variance, Computer Programs, Matrices, Multivariate Analysis
Timm, Neil H.; Carlson, James E. – 1975
Part and bi-partial canonical correlations were developed by extending the definitions of part and bi-partial correlation to sets of variates. These coefficients may be used to help researchers explore relationships which exist among several sets of normally distributed variates. (Author)
Descriptors: Computer Programs, Correlation, Data Analysis, Hypothesis Testing
Lord, Frederic M. – 1973
Faced with a nonstandard, complicated practical problem in statistical inference, the applied statistician sometimes must use asymptotic approximations in order to compute standard errors and confidence intervals and to test hypotheses. This usually requires that he derive formulas for one or more asymptotic sampling variances (and covariances)…
Descriptors: Computer Programs, Data Processing, Error of Measurement, Hypothesis Testing
Peer reviewedAiken, Lewis R. – Educational and Psychological Measurement, 1980
Procedures for computing content validity and consistency reliability coefficients and determining the statistical significance of these coefficients are described. Procedures employing the multinomial probability distribution for small samples and normal curve probability estimates for large samples, can be used where judgments are made on…
Descriptors: Computer Programs, Measurement Techniques, Probability, Questionnaires
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
McKinley, Robert L.; Reckase, Mark D. – 1980
A study was conducted to compare the quality of the item parameter estimates obtained from the ANCILLES and LOGIST estimation procedures using goodness of fit as a criterion. Statistics used to compare the fit included a chi-square statistic and a mean square deviation statistic. Other analyses performed included comparisons of the distributions…
Descriptors: Comparative Analysis, Computer Programs, Difficulty Level, Goodness of Fit
Hall, Charles E.; And Others – 1973
The VARAN (variance Analysis) program is an addition to a series of computer programs for multivariate analysis of variance. The development of VARAN exploits the full linear model. Analysis of variance, univariate and multivariate, is the program's main target. Correlation analysis of all types is available with printout in the vernacular of…
Descriptors: Analysis of Variance, Computer Programs, Correlation, Data Processing


