wabamodreg: WABA - Moderated Regression Analysis

In bpoconnor/WABA: Within-and-Between-Analysis for Groups and Dyads

Description

This WABA function focuses on the interaction between two variables in the prediction of a third. It is a WABA extension of regular moderated multiple regression.

Usage

wabamodreg(data)

Arguments

data

An all-numeric dataframe where the rows are cases & the columns are the variables. The first value in each row (i.e., the first column of values in the data file) must be the individuals' group number/code, which must be an integer. The function sorts individuals into groups on the basis of these numbers/codes. Variable scores appear in subsequent columns. The second value in each row (i.e., the second column of values in the data file) are treated by the function as the Dependent/Outcome variable. The third value in each row (i.e., the third column of values in the data file) are treated by the function as the Independent/Predictor variable. The fourth value in each row (i.e., the fourth column of values in the data file) are treated by the function as the Moderator variable (technically also an IDV/predictor). There is no need to enter product term variables or to enter composite variable scores. The function takes care of these aspects of the analyses internally.

Details

In WABA analyses it is possibile to examine interactions between variables (categorical or continuous) in the prediction of a designated dependent or outcome variable. The analytic technique, described by Schriesheim (1995), is a direct extension of familiar moderated multiple regression analysis to the WABA analyses described above. Hierarchical regression analyses are conducted, focusing on whether the product term for two variables (which carries the interaction) accounts for significant variance in the outcome variable beyond the variation that is accounted for by the two predictor variables (main effects). A significant increase in variance accounted for by the product term indicates a significant interaction. These hierarchical analyses are conducted using both the within-groups and the between-groups WABA correlations. The wabamodreg function provides all of the statistics reported by Schriesheim for his illustrative example.

Produces multiple WABA statistics.

Author(s)

Brian P. O'Connor

References

Schriesheim, C. (1995). Multivariate and moderated within-and between-entity analysis (WABA) using hierarchical linear multiple regression. Leadership Quarterly, 6, 1-18.

Schriesheim, C. A., Cogliser, C. C., & Neider, L. L. (1995). Is it "trustworthy"? a multiple levels-of-analysis reexamination of an ohio state leadership study, with implications for future research. Leadership Quarterly, 6, 111-145.

Schriesheim C., Neider L.L., Scadura T. (1998), Delegation and leader-member exchange: main effects, moderators, and measurement issues. Academy of Management Journal, 41(3), 298-318.

Examples

wabamodreg(data_Detect_Set_A)

wabamodreg (data_jsp[c('school','english','maths','ravens' )])

bpoconnor/WABA documentation built on May 13, 2019, 5:22 p.m.