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)

A class of naive estimators of correlation was tested for robustness, accuracy, and efficiency against Pearson's r, Tukey's r, and Spearman's r. It was found that this class of estimators seems to be superior, being less affected by outliers, reasonably efficient, and frequently more easily calculated. (Author/CTM)

This manuscript examines the practical differences between quantitative and qualitative inquiry by comparing the differences between one article from each paradigm. Quantitative research differs greatly from qualitative inquiry in purpose, assumptions, methodology, and representation. While quantitative research has been the dominant paradigm for…

Subtitling or captioning the dialogues of English movies can be very helpful to EFL learners in the Arab world. The present study reviews the importance of subtitling for language learning in general and listening comprehension in particular. A comparison is made between different levels of listening comprehension and different genres of English…

This paper focuses on family involvement in the education of teenagers at risk of dropping out from compulsory secondary school. A questionnaire was completed by 131 Spanish and Cypriot families with children at six schools--three in each country. The questionnaire investigated: (1) parental perceptions of their children's activities in their free…

Statistics used to estimate the population correlation ratio were reviewed and evaluated. The sampling distributions of Kelly's and Hays' statistics were studied empirically by computer simulation within the context of a three level one-way fixed effects analysis of variance design. (Author/RC)

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…

Neglected issues of simultaneous statistical inference and statistical power in survey research applications of the general linear model are reviewed, and it was found that classical hypothesis testing as it is currently applied, is inadequate for the purposes of social research. The intelligent use of statistical inference demands control over…

A statistical method, Fishers Table of t (or t ratio), is used to determine the statistical significance of a comparison of results from pretests and post-tests of knowledge and skill taken by training program participants. A statistically significant improvement can demonstrate training effectiveness. (MS)

Compares three methods of analyzing pairwise treatment differences in a multi-treatment experiment via computer simulation techniques. Under the equal n condition, the robustness of the conventional Tukey Wholly Significant Difference test (WSD) to heterogeneous variances was contrasted with two alternate techniques. Under unequal n conditions,…

This report summarizes the findings of an analysis of a series of action research projects conducted by Goshen Community Schools at the elementary, middle, and high school levels. During the 2008-2009 school year, 40 teachers participated in independent action research studies regarding the extent to which a six step approach to direct vocabulary…

Despite the prevalence of multiple choice items in educational testing, there is a dearth of empirical evidence for multiple choice item writing rules. The purpose of this study was to expand the base of empirical evidence by examining the use of the "all-of-the-above" option in a multiple choice examination in order to assess how…

R. V. Hopkins (1982) has criticized the use of means as the unit of analysis in situations where intact groups, such as classes, rather than individuals have been randomly assigned to various treatment conditions. Instead, Hopkins advocated the use of certain analysis of variance (ANOVA) models that, as far as test for treatment effects are…

The assumptions and consequences of applying conventional and newer statistical methods to meta-analytic data sets are reviewed. The application of the two approaches to a meta-analytic data set described by L. V. Hedges (1984) illustrates the differences. Hedges analyzed six studies of the effects of open education on student cooperation. The…

Stability of Type I error rates and power are investigated for three forms of the Box test and two forms of the jackknife test with equal and unequal sample sizes under conditions of normality and nonnormality. The Box test is shown to be robust to violations of the assumption of normality when sampling is from leptokurtic populations. The…