Dear Scholars,
I have 4 independent variables, 1 mediator, and 1 dependent. The sample size is 214
1- After Conducting the normality test by Kolmogorov–Smirnov, and Shapiro–Wilk test, I found the following :
A- 2 independent variables were nonnormal distributed according to Smirnov, and 2 were normally distributed.
However, I found all were normally distributed according to the Shapiro test.
C- The skewness, kurtosis, and histogram were clearly normally distributed.
2- After conducting a multicollinearity test, I found the independent non-significantly correlated
3- I conducted a correlation test and I found that 1 of the nonnormal distribution according to the Smirnov test was non-significantly correlated with the mediator or with the dependent.
Because of that, I will not consider them in further analysis steps.
thus now I have 3 independent were 1nonnormal distributed according to Smirnov( but normally according to Shapiro, skewness, kurtosis, and histogram data)
4- Now, I am going to use Baron and Kenny's steps for mediation analysis with Preacher and Hayes (2004) bootstrap method.
The questions are as follows:
1-if my approach is right or not?
2- If I have to conduct CFA or not? (The questionnaire was adopted after translation, content validation, and reliability test)
3- If there are missing steps in my analysis approach?
I would refrain from pre-selecting variables for your regression/path model(s) for multiple reasons that have been discussed in other posts on Researchgate. Since you seem to be using an OLS multiple regression approach, you only need to be concerned about normality (as well as independence and heteroscedasticity) of the residuals (error terms) anyway. I would include all variables in the regression analysis and check the distribution of the residuals, primarily graphically (with residual plots).
Regarding CFA: It probably won't hurt anything to run a CFA. Since the scale was translated from another language CFA results could help ensure that the measurements work properly also in the different language context.
Christian Geiser thanks for your answer. I did what you said but now I have another problem,
Since I draw all paths through the mediator and to dependent in order to find the indirect effect and compare it with the total effect, the AMOS refuses (Chi=0, SRMR=0, p value=0,...etc) to run because the degree of freedom becomes 0. Meaning as I think that I have to delete one path line or one covariance line or fix the parameter of one path.
Your model may be saturated or "just identified" (df = 0). This would be the case if you estimated all possible paths between variables. You should still be able to look at the parameter estimates for a saturated/just-identified model. You just don't get an overall chi-square test of model fit (because a saturated model by definition reproduces the observed data perfectly).
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