I think your hypotheses are clear and it is better to neglect the dimensions of each variables. so your hypotheses should be like this:

1- individual values and job satisfaction

2- individual values and organizational commitment

3- individual values and organizational citizenship behavior

4- job satisfaction and organizational citizenship behavior

5- organizational commitment and organizational citizenship behavior

6- mediating role of job satisfaction between individual values and organizational citizenship behavior

7- mediating role of organizational commitment between individual values and organizational citizenship behavior.

I think your analyzing program depend on sample. if your sample is small it is better to use PLS and if your sample is large it is better to use AMOS (Structural Equation Modeling)

If I understand you correctly, it looks like you're going to need one set of hypotheses for each value that you're going to test, Value1 through Value10. That's a lot of hypotheses!

It looks like you're hypothesizing that both Org Commitment and Job Satisfaction mediate the relationship between ValueX and OCB. This is only meaningful for the values that are significantly correlated to OCB (zero-order correlations). If such a relationship doesn't exist, mediation isn't meaningful.

However, I don't think I would make hypotheses about mediation. I can't imagine that the relationship between valuing hedonism, for example, and job satisfaction is very high (but I might be wrong). However, I think it might be interesting to examine whether holding certain values moderates a) the relationship between between job satisfaction and OCB, and b) the relationship between org commitment and OCB. This would help us better understand these relationships.

I believe Structural Equation Modeling technique can answer all your questions.

The technique is a multivariate statistical analysis that is used to analyze structural relationships. You should study the significance of direct and indirect effects of all the the relationships.

Saeid Nosrati Mahfuz Judeh David Dunaetz Thank you so much for your answers! My sample is not very large so PLS might be better, but I might try SEM as well, since I found some smaller studies that use it too. I am going to check if any of the values are correlated with OCB, and if not I will do as David recommended and look at the moderating effects of the values. That sounds very interesting.

According to your model the hypotheses should be:

1. Their is a direct effect for individual values in OCB at 0.05 level.

2 . Their is an indirect effect for individual values in OCB at 0.05 level through job satisfaction.

3.Their is an indirect effect for individual values in OCB at 0.05 level through organizational commitment.

And the arrow through the middle from values to OCB is necessary.

You should use Path analysis to deal with your hypotheses by using Structural Equation modeling , and this can done through SPSS _ AMOS Program.

I use multivariate statistical analysis,to análise the relationship betwen the variables.But there are another ways....

Dear Nienke G. the only issue with your framework is that how you (definitely with Literature support) define and operationalize your "Individual Values"? are all of them (10 values as u mentioned) unique and distinct variables? If yes, then you can't use all 10 as one variable even in SEM analysis. However, if your literature supports that all 10 values form the variable "Individual Values" then very straight forward and simply use SEM with all your constructs as Higher Order variables.

Note: Testing direct relationship(s) between IV and DV in a theory backed mediation research framework is not necessary.

Best Regards