SPSS and SAS programs for comparing Pearson correlations and OLS regression coefficients

SPSS and SAS programs for comparing Pearson correlations and OLS regression coefficients.

Several procedures that use summary data to test hypotheses about Pearson correlations and ordinary least squares regression coefficients have been described in various books and articles. To our knowledge, however, no single resource describes all of the most common tests. Furthermore, many of these tests have not yet been implemented in popular statistical software packages such as SPSS and S...

SPSS Programs for Addressing Two Forms of Power for Multiple Regression Coefficients

This paper presents power analysis tools for multiple regression. The first takes input of correlations between variables and sample size and outputs power for multiple predictors. The second addresses power to detect significant effects for all of the predictors in the model. Both employ user-friendly SPSS Custom Dialogs.

Comparing Pearson Correlations: Dealing with Heteroscedasticity and Nonnormality

Methods for computing a confidence interval for the difference between two Pearson correlations are compared when dealing with non-normality and heteroscedasticity. Variations of a method derived by Zou performed relatively well in simulations for the dependent case. For the independent case, the Wilcox-Muska method performed best.

SPSS and SAS programming for the testing of mediation models.

BACKGROUND Mediation modeling can explain the nature of the relation among three or more variables. In addition, it can be used to show how a variable mediates the relation between levels of intervention and outcome. The Sobel test, developed in 1990, provides a statistical method for determining the influence of a mediator on an intervention or outcome. Although interactive Web-based and stand...

GEE for longitudinal ordinal data: Comparing R-geepack, R-multgee, R-repolr, SAS-GENMOD, SPSS-GENLIN