The multitude of procedures for testing hypotheses about mean contrasts often presented in statistical methods textbooks is unwarranted. This article demonstrates that nearly all such research can be handled by a single contrast test statistic often attributed to R. A. Fisher. (TJH)

This article reviews some of the properties of criterion-scaled regression analysis, especially as it relates to the analysis of a repeated measures/randomized block design. (Author/LMO)

Compared six effect size (ES) measures commonly used by gerontological researchers as these measures relate to one another in both the analysis of variance and multiple regression models. Also discusses three other issues involving ES measures: the ES of a contrast; orthogonal and nonorthogonal designs; and partial ESs. (Author/JAC)

Three methods of handling disproportionate cell frequencies in two-way analysis of variance are examined. A Monte Carlo approach was used to study the method of expected frequencies and two multiple regression approaches to the problem as disproportionality increases. (Author/JKS)

Multiple regression analysis (MRA) may be used when both continuous and categorical variables are included as independent research variables. The use of MRA with categorical variables involves dummy coding, that is, assigning zeros and ones to levels of categorical variables. Caution is urged in results interpretation. (Author/CH)

Some of the more simplified methods for contrasts with equal sample sizes in multiple regression analysis are shown to result in erroneous calculations when applied to data sets with unequal sample sizes. An alternative method is provided. (Author/JKS)

Regions of significance in aptitude-by-treatment-interaction studies are examined by the traditional statistical approach and an alternative approach which integrates: (1) testing for the parallelism of two or more regression lines; (2) testing for their identity; and (3) Scheffe's theorem. (Author/RL)

Repeated measures designs often involve dichotomization of a continuous variable in order to be amenable to the analysis of variance nature of such designs. An alternative to that approach wherein the independent variable is kept continuous is presented. (JKS)

The use of general linear regression methods for the analysis of categorical data is recommended. The general linear model analysis of a 0,1 coded response variable produces estimates of the same response probabilities that might otherwise be estimated from frequencies in a multiway contingency table. (Author/CTM)

Discussion of journal article titles as an index to the contents, and thus to the underlying discipline, focuses on a study that was conducted to investigate the development of the field of counseling. Use of the Danielson and Bryan Index is described, and implications of a trend toward longer titles are suggested. (11 references) (LRW)

Presents a comparative reanalysis of two studies into why some story events are more memorable than other events. Also proposes a theoretical account of the identified variables (story-grammar category, causal chain, causal connectivity factors to recall, and other measures of story understanding) and their influence on the comprehension of…

A diagram is used to aid discussion of how several of the frequently used multivariate statistical techniques are interrelated. All of those discussed can be regarded as special cases of canonical correlation. (Author)

A statistical technique designed to highlight the contributions of two continuous predictor variables to a continuous criterion variable is described. The technique involves selecting subpopulations, called pockets, via regression techniques. An example using cognitive styles to predict performance on problem-solving tasks is discussed.…

The paper cites difficulties in aptitude-treatment interaction (ATI) research which investigates relationships between test performance and the extent of profiting from instruction. Two methods for ATI research (regression analysis and analysis of variance) are described, assumptions and potential mininterpretations are noted, and correct…

A method to provide estimates of parameters of specified nonlinear equations from ordinal data generated from a crossed design is presented. The statistical basis for the method, called NOPE (nonmetric parameter estimation), as well as examples using artifical data, are presented. (Author/JKS)