# # ################################################################################################# # # ############ Evaluating MEDIATION with Aroian Test and Regression ############ # # Using the MacKinnon (2008) data from Chapter 3, page 56 (available on the SPSS_SC web page). DATASET ACTIVATE DataSet1. # Equation (1): The mediator (M) predicted by the independent variable (X). REGRESSION /DESCRIPTIVES MEAN STDDEV CORR SIG N /MISSING LISTWISE /STATISTICS COEFF OUTS CI(95) BCOV R ANOVA ZPP /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT M /METHOD=ENTER X /RESIDUALS HISTOGRAM(ZRESID) NORMPROB(ZRESID). # Equation (2): The dependent variable (Y) predicted by the independent variable (X). REGRESSION /DESCRIPTIVES MEAN STDDEV CORR SIG N /MISSING LISTWISE /STATISTICS COEFF OUTS CI(95) BCOV R ANOVA ZPP /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT Y /METHOD=ENTER X /RESIDUALS HISTOGRAM(ZRESID) NORMPROB(ZRESID). # Equation (3): The dependent variable (Y) predicted by the mediator (M) and the independent variable (X). REGRESSION /DESCRIPTIVES MEAN STDDEV CORR SIG N /MISSING LISTWISE /STATISTICS COEFF OUTS CI(95) BCOV R ANOVA ZPP /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT Y /METHOD=ENTER M X /RESIDUALS HISTOGRAM(ZRESID) NORMPROB(ZRESID). # AROIAN Z-TEST (1944/1947) similar to SOBEL (1982). Aroian is slightly more strict (conservative) than Sobel. # Now take the following four values from the output of regression equation (1) and regression equestion (3). First # we need a, which is the unstandardized coefficient of the IV (X) when predicting the mediator (M); which can be # found in the output of regression equation (1). Here, a = 0.339. Next we need Sa, which is the standard error # of a; also found in the output of regression equation (1). Here, Sa = 0.122. Next we need b, which is the # unstandardized coefficient for the mediator (M) from the output of regression equation (3). Here, b = 0.451. Next # we need Sb, which is the standard error of b; also found in the output of regression equation (3). Here, Sb = 0.146. # Now, we can plug these values into the Aroian equation: # a * b / sqrt(b^2 * Sa^2 + a^2 * Sb^2 + Sa^2 * Sb^2) # Pluggin in the values from the output, we get the following: # (NOTE: All equations below can be pasted directly into R for calculation): # .339 * .451 / sqrt(.451^2 * .122^2 + .339^2 * .146^2 +.122^2 * .146^2) # 0.152889 / sqrt(0.005794344) # 0.152889 / 0.07612059 # 2.00851 # Given that the calculated Z-value (2.00851) is greater than the critical Z-value for a two-tailed test at # alpha = .05 (1.96); we can say that we have a significantly different from zero mediation effect. # Going further, we can calculate the confidence interval for our effect. The estimated mediation effect is equal # to a*b which for the current example is: # .339 * .451 = .152889 # Then we can get the standard error of the mediation effect with the following equation: # sqrt(a^2 * Sb^2 + b^2 * Sa^2) # which for our example is: # sqrt(.339^2 * .146^2 + .451^2 * .122^2) # sqrt(.114921 * .021316 + .203401 * .014884) # sqrt(.002449656 + .003027420) # sqrt(.005477076) # .07400727 # So now, using our critical Z-value (+/- 1.96) and the calculated mediation effect (and standard error for it) we # can construct our upper and lower 95% confidence limits. # Upper Limit = 0.152889 + 1.96*.07400727 # UL = 0.152889 + 0.1450542 # UL = 0.2979432 # Lower Limit = 0.152889 - 1.96*.07400727 # LL = 0.152889 - 0.1450542 # LL = 0.0078348 #### REFERENCES #### # Aroian, L. A. (1944/1947). The probability function of the product of two normally distributed variables. Annals of # Mathematical Statistics, 18, 265-271. # Clark, M. J. (2004). Moderators and Mediators. RSS Matters, August, 2004. # (http://www.unt.edu/benchmarks/archives/2004/august04/rss.htm). # MacKinnon, D. P. (2008). Introduction to Statistical Mediation Analysis. New York: Lawrence Erlbaum Associates. # Sobel, M. E. (1982). Asymptotic intervals for indirect effects in structural equations models. In S. Leinhart (Ed.), # Sociological methodology 1982 (pp.290-312). San Francisco: Jossey-Bass.