Presents an overview of nonparametric regression as it allies to differential item functioning analysis and then provides three examples to illustrate how nonparametric regression can be applied to multilingual, multicultural data to study group differences. (SLD)

A method based on three variance computations and some minor arithmetic is presented as an alternative to criterion-scale regression for the computation of a repeated measures-randomized blocks analysis of variance (RMBANOVA). The use of margin sum and cell variances can simplify the analysis of data for RMBANOVA. (SLD)

This paper argues that: test data are ordinal; latent trait scores are only determined ordinally; and test data are used largely for ordinal purposes. A set of ordinal assumptions is presented, including an ordinal version of local independence. It is concluded that a purely ordinal test theory is possible. (TJH)

James's second-order approximation for testing the equality of "k" independent means under heterogeneity of variance may be adapted to the test for the equality of "k" independent regression slopes under heterogeneity of error variance. Performance of the approximation is evaluated and availability of computer programs is…

Presents first of two-part editorial (second part to appear in next journal issue) proposing guidelines for developing useful tables to report multiple regression outcomes. Pays particular attention to situations where a hierarchical multiple regression analysis is guided by theory. Concludes that some conventional way to report multiple…

Accuracy was compared for three methods of implementing parallel analysis with mean eigenvalues (regression, interpolation, and computation with three samples of random data). The accuracy of parallel analysis with 95th percentile eigenvalues (through regression and interpolation) was also considered. No evidence of differential accuracy emerged…

Develops the argument that estimates of the moderator effect may vary depending on the approach (regression or subgroup) taken by the meta-analyst. The difference results from ambiguity in assigning the variance shared by correlated moderators when the shared variance is also shared with the effect size. Illustrative tables are presented. (SLD)

Proposes a new regression correction for the SIBTEST statistical tests (R. Shealy and W. Stout, 1993) that essentially uses a two-segment piecewise linear regression of the true on observed matching subtest scores. A simulation study illustrates the approach. (SLD)

Discusses determining sample size for estimation of the squared multiple correlation coefficient and presents regression equations that permit determination of the sample size for estimating this parameter for up to 20 predictor variables. (SLD)

Describes uses of statistical research tools: descriptive statistics, correlation, regression, and inferential statistics. Addresses concerns about statistical analysis in agricultural research. (SK)

Two theorems are presented that describe the conditions under which intercept differences can exist under factorial invariance. In such cases, intercept differences do not result from measurement bias in either the tests or the criterion. The conditions of the theorems are testable, and the test procedures are illustrated. (SLD)

The relationships among procrastination, efficacy expectations, anxiety, gender, and age variables were examined in 141 university students. Participants rated their efficacy regarding the skills needed to accomplish a major project. A multiple regression analysis was used to distinguish variables predicting procrastination. Results indicate that…

Examines inequalities in availability of employer-based health insurance due to differences in formal educational attainment, using a sample of 7762 fully employed adult respondents in the 1987 National Medical Expenditure Survey. Fully employed individuals with higher formal education levels are more likely to have insurance. Ameliorative…

Presents the hierarchical generalized linear model (HGLM) as an explicit two-level formulation of a multilevel item response model. Shows that the HGLM is equivalent to the Rasch model, and that a characteristic of the HGLM is that person ability can be expressed as a latent regression model with person-characteristic variables. Shows that the…

Developed a new regression equation to estimate the mean value of eigenvalues in parallel analysis and studied the performance of the equation in comparison with previously published regression equations through simulation. Performance of the new equation was comparable to that of the LCHF equation of G. Lautenschlager and others (1989). (SLD)