It is recommended that levels of analysis of variance (ANOVA) designs be applied to carrier variables to help overcome the lack of unambiguously generablizable results in many applied experiments. (Author)

Sections of this paper are: basic framework for the review; fundamentals of choosing contrasts in multivariate analysis of variance; principles and procedures for orthogonal and in nonorthogonal MANOVA; general problems and principles in the analysis of multivariate dependent variables. References. (Author/VW)

The intent of this paper is to demonstrate that the standard age effect in analysis of variance provides an ineffective means of assessing developmental change when several age levels are involved and a roughly monotonic trend can be expected. (Author)

The adequacy of traditional effect size measures for research synthesis is challenged. Analogues to analysis of variance and multiple regression analysis for effect sizes are presented. The importance of tests for the consistency of effect sizes in interpreting results, and problems in obtaining well-specified models for meta-analysis are…

As an extension of B. Thompson's 1998 invited address to the American Educational Research Association, this paper cites two additional common faux pas in research methodology and explores some research issues for the future. These two errors in methodology are the use of univariate analyses in the presence of multiple outcome variables (with the…

Calls attention to limitations and dangers in routine application of multivariate analysis of variance (MANOVA), describes some alternative procedures, and laments the necessarily pervasive character of the statistical problem. (Author)

The importance of reporting explained variance in ANOVA designs is discussed. Three methods that can be used to obtain estimates of explained variance in ANOVA designs are described and applied to sixteen studies that were reported in recent NARST volumes. Recommends that researchers in science education report explained variance. (Author/DS)

The value of variance is emphasized, and the element of design, frequently not adequately understood, is clarified to underscore the importance of variance to the researcher. Two analytic methods, analysis of variance (ANOVA) and multiple regression, are discussed in terms of how each uses/applies variance. Advantages and major difficulties with…

This report presents the problem and a solution to the treatment of students by age interactions. It considers the plight of an educational researcher who wishes to demonstrate that a particular treatment effect changes from age to age. In analysis of variance language, he is seeking a treatment by age interaction. The report presents a rationale…

Methods of assessing effect size and the flows that limit their usefulness are discussed. The various statistical procedures for estimating variance accounted for are based on different statistical models producing sharply differing results. The methods reflect too greatly the particular study characteristics and hence have limited…

The author illustrates the shortcomings of pooling data from replication and original studies. If combining data is deemed necessary, procedures should be rigorous to identify statistically widen study differences. When sources of variation are easily identifiable, an analysis of variance may be superior to a series of separate t-tests.…

Meta-analysis has become an important supplement to traditional methods of research reviewing, although many problems must be addressed by the reviewer who carries out a meta-analysis. These problems include identifying and obtaining appropriate studies, extracting estimates of effect size from the studies, coding or classifying studies, analyzing…