Multiple-variable tutorial

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Tutorial for Multiple-Variable Analysis

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Overview

Multiple-variable analysis is described in six pdf files in different ways.
Click on the file below that you prefer and scroll through the material to get a feeling for multiple-variable analysis.

Visualizing WABA

Click here to see the section in this manual about multiple-variable analysis.
Click here for an overview of how this manual uses visualization.

Theory Testing book.

The Introduction provides an overview of the analyses in conceptual and theoretical terms.
Additional Information is available in the Preface of this book.

Original User's Manual.

The Preface provides an overview of the analyses in empirical terms.
Additional information is available in the Introduction of this manual.

Data Set A

Chapter 5 of the DETECT Manual

Section 5.1 gives a description of a sample data set.

Actual Data

To download, click on data set A and save the page as text.

DETECT Program

DETECT for Windows® uses windows to tell DETECT what analyses to perform. All the windows available in DETECT are described in the manual. The manual uses single-level analysis and data set A as an example but the manual also shows how to perform multiple-variable analysis. The actual program generated by DETECT for windows for this analysis is listed at the beginning of the output listed below.

Click here to view the complete DETECT for Windows® manual.

Output

Click here to see the actual program for and output from the multiple-variable analysis of data set A.

Interpretation

The original Section 5.3 in Chapter 5 (1MB) of the DETECT manual shows how the output is interpreted (Scroll to Section 5.3)
The DETECT Interpretation Guide gives a more detailed interpretation. (Scroll to multiple-variable analysis tables)

Wherever the interpretations in Chapter 5 indicate a need to look up a value, DETECT for Windows® no longer requires it.

A selection of published studies with real data using multiple-variable analysis

Yammarino, F. (1998). Multivariate aspects of the varient/WABA approach for multi-level theory testing: A discussion and leadership illustration. Leadership Quarterly, 9, 203-227.

Dansereau, F., Alutto, J., and Yammarino, F. (1984) Theory Testing in Organizational Behavior. Englewood Cliffs NJ: Prentice Hall.

For a discussion of the above published studies see:
Dansereau, F. and Yammarino, F. (2000). Within and between analysis: The varient paradigm as an underlying approach to theory building. In K. Klein and S. Kozlowski (Eds.) Multilevel Theory, Research and Methods in Organizations (425-466). San Francisco, CA: Jossey-Bass.

A note about DETECT

DETECT's practical significance indicators ( such as Cohen's eta squared) are compatible with the report of the American Psychological Association Task Force on Statistical Significance that effect sizes should "always" be reported along with p values, and that "reporting and interpreting effect sizes in the context of previously reported effects is essential to good research" (p. 599)

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