Organize your paper into four clearly labeled sections, each addressing one of the prompts:

Section 1: Why Did the Authors Use Moderation/Mediation?

• Summarize the research question and explain why the authors chose this model.
• Discuss the theoretical rationale (e.g., testing interaction effects or indirect pathways).

Section 2: Was It the Most Appropriate Choice?

• Evaluate whether the model fits the research question.
• Consider alternative models (e.g., path analysis, SEM) and justify your stance.

Section 3: Visual Display of Results

• Did the authors use tables or figures?
• Describe how the visuals were used to present findings (e.g., regression coefficients, interaction plots).

Section 4: Do the Results Stand Alone?

• Can you interpret the study from the results section alone?
• Are the tables/figures clear, complete, and informative without needing the full text?

for the Mediator Model

The Baron and Kenny (1986) method of testing for mediation assumes the following:

*The independent variable (IV or X) must be significantly correlated with the Dependent Variable (DV or Y).

*The Independent Variable must be significantly correlated with the Mediator variable (MV)

*The Mediator Variable must be significantly correlated with the Dependent Variable (DV or Y).

These relationships are tested with simple correlation and regression (by evaluating Pearson's r_s and the unstandardized regression coefficients, bs).

The mediated (indirect) effect is tested through three regressions and Sobel's test.

Model 1: *Independent variable predicting the dependent variable

Model 2: *Independent variable predicting the mediator

Model 3:*Independent variable and mediator predicting the dependent variable.

Sobel's test for the significance of the indirect effect of the IV on the DV through the Mediator variable (MV).

*The following conditions must be met in the results to support mediation:

*The independent variable is shown to significantly influence the dependent variablein the first regression equation.

*Independent variable is shown to significantly influence the mediator in the second regression equation.

*Mediator must significantly influence the dependent variable in the third equation.

Here, the independent variable and mediator are entered as predictors in an MRA.

*Complete mediation is present when the independent variable no longer influences the dependent variable after the mediator has been controlled and all of the above conditions are met.

*Partial mediation occurs when the independent variable's influence on the dependent variable is reduced after the mediator is controlled.

If you haven't already done so, I strongly suggest that you read the Baron and Kenny Article: Baron & Kenny1986-1.pdf Download Baron & Kenny1986-1.pdf

References: Baron, R. M., & Kenny, D. A. (1986). The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51, 1173-1182.

SPSS DATA FILE: Stress NHP Illness.sav