Details of a reasonably precise normalization technique for coefficient alpha are outlined, along with methods for estimating the variance of the normalized statistic. These procedures lead to the K-sample significance test. (RC)

Many program evaluations involve some type of statistical testing to verify that the program has succeeded in accomplishing initially established goals. In many cases, this takes the form of null hypothesis significance testing (NHST) with t-tests, analysis of variance, or some form of the general linear model. This paper contends that, at least…

This paper describes two statistics (chi square and Kendall's S) which may be used to test hypotheses about the association between two variables when observations are cross-classified in a contingency table. (CK)

The interpretation of significant left-tailed analysis of variance (ANOVA) F-ratios is supported by considering the case of a fixed effects ANOVA model. The conclusions of this case are generalizable to other standard ANOVA models. (Author/PN)

Considers reviews of L. Daniels's article on editorial policy regarding statistical significance testing and concludes that the controversy is not over, although the gradual movement toward requiring additional information in the reporting of statistical results is viewed as a positive trend. (SLD)

Statistical significance reporting and use in educational and psychological research is reviewed. An assessment of the use of statistical significance in articles published in MECD from 1990-1996 is presented. The elements of statistical significance (including sample size, effect size, and power), interpretation of results, common erroneous…

Addresses the state of the art in use of statistical significance tests and effect size interpretation, explicating the current debate regarding hypothesis testing; reviewing the newly published American Psychological Association Task Force on Statistical Inference report on statistical inference; examining current trends in reporting practices in…

This study was designed to carry out a survey of the implementation of continuous assessment (CA) in Nigerian universities. Two research questions and one hypothesis were formulated to guide the study. The sample for the study consisted of 1,340 respondents. A 24 item self-report instrument was used for the study. The data generated, were analyzed…

Threedifferent statistical procedures for identifying aptitude-treatment interactions are discussed: (1) treatment x blocks analysis of variance (2) homogeneity of groups regressions and (3) extreme groups analysis. (Author)

Replication is important to viable scientific inquiry; results that will not replicate or generalize are of very limited value. Statistical significance enables the researcher to reject or not reject the null hypothesis according to the sample results obtained, but statistical significance does not indicate the probability that results will be…

Using a Monte Carlo approach, comparison was made between traditional procedures and a multiple linear regression approach to test for differences between values of r sub 1 and r sub 2 when sample data were dependent and independent. For independent sample data, results from a z-test were compared to results from using multiple linear regression.…

This study examines the relative effectiveness of two means of analyzing the pre-test/post-test control group experimental design. Samples were randomly drawn from a standardized normal population and assigned to one of the four cells of the design. A set of experimental differences were induced in the post-test experimental cell. Each case was…

The purpose of the present study was to investigate empirically the effects of violations of the assumption of homogeneity of within-group regression slopes on levels of significance in the F test of fixed-effects ANCOVA (analysis of covariance). The study used a Monte Carlo computer simulation procedure to generate data under the following…

When analysis of variance is used, statistically significant differences may or may not be of practical significance to educators. A large part of the problem is due to the fact that a "zero difference" null hypothesis can always be rejected statistically if the sample size is large enough. If, however, a method based on the noncentral F…