Fiedler and Kareev (2006) have claimed that taking a small sample of information (as opposed to a large one) can, in certain specific situations, lead to greater accuracy--beyond that gained by avoiding fatigue or overload. Specifically, they have argued that the propensity of small samples to provide more extreme evidence is sufficient to create…

Von Davier et al. (this issue) describe two analyses that aim at determining whether the constructs measured with a number of observed items are categorical or continuous in nature. The issue of types versus traits has a long history and is relevant in many areas of behavioral research, including personality research, as emphasized by von Davier…

Correlation matrices and standard deviations are the building blocks of many of the commonly conducted analyses in published research, and AERA and APA reporting standards recommend their inclusion when reporting research results. The authors argue that the inclusion of correlation/covariance matrices, standard deviations, and means can enhance…

Considers problems which arise when researchers do not have the optimally large sample sizes desired in structural equation modeling. Discusses the ways in which small sample size affects assessment of model fit. Provides a new estimator that may be beneficial for use in small-sample situations. (Author/RH)

Views intercoder reliability as a sampling problem for content analyses. Develops a formula for generating sample sizes needed to have valid reliability estimates. Suggests steps for reporting reliability. (TB)

Review of research investigating gender differences in computer-related behavior examines statistical and methodological flaws. Issues addressed include sample selection, sample size, scale development, scale quality, the use of univariate and multivariate analyses, regressional analysis, construct definition, construct testing, and the…

The Walsh and Carballo evaluation of the effectiveness of transitional bilingual education programs in five Massachusetts communities, has the following flaws: (1) the sample of school districts studied suffered from "self-selection bias"; (2) the sample does not include a single large, urban school district; (3) the student samples…

Critiques an article by Virginia LoCastro that contrasted quantitative data (using the Strategy Inventory for Language Learning, or SILL) and qualitative data (using group interviews) and finds the conclusions drawn from the comparison unjustified on various grounds. A reply by LoCastro is included. (Contains a combined total of 20 references.)…

In August 1996 Jay P. Greene, Paul E. Peterson, and Jiangtao Du, with Leesa Boeger and Curtis L. Frazier, issued a report called "The Effectiveness of School Choice in Milwaukee." The report, referred to as GPDBF, presented data that indicated that low-income minority students in their third and fourth years of participation in the…

Argues that perception studies and ranking are lacking in validity and reliability because of small sample size, simplistic statistical analyses, and the evaluation of quality by educators. It is asserted that quality control is more valid when evaluated by the customers of education, i.e., the students. (11 references) (EA)