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Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits

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SPSS and SAS programming for the testing of mediation models.

William N Dudley¹, Jose G Benuzillo, Mineh S Carrico

¹Emma Eccels Jones Nursing Research Center, College of Nursing, University of Utah, USA.

Nursing Research

|January 17, 2004

Summary

Mediation modeling, using the Sobel test, explains variable relationships. Accessible SAS and SPSS programs simplify mediation analysis for nursing researchers.

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Area of Science:

Nursing Research
Statistical Modeling
Quantitative Methods

Background:

Mediation modeling clarifies relationships among multiple variables, including intervention effects on outcomes.
The Sobel test statistically assesses a mediator's influence, crucial for understanding complex causal pathways.
Existing methods for the Sobel test are enhanced by automated SPSS and SAS programs, improving accessibility for nursing researchers.

Purpose of the Study:

To demonstrate the practical application and value of the Sobel test in mediation analysis.
To provide readily available SAS and SPSS programming for conducting Sobel tests, tailored for nursing research.

Main Methods:

Introduction to the historical context, underlying principles, and technical details of mediation testing.
Development and availability of automated syntax files (sobel.sps and sobel.sas) for streamlined regression analysis and Sobel test computation.

Main Results:

The provided programming enables single-step mediation testing with user-specific data.
Accompanying technical manuals offer guidance on program operation and output interpretation.

Conclusions:

Mediation modeling is a valuable technique for analyzing relationships involving three or more variables.
The study makes accessible programming and instructional materials for implementing mediation modeling.