I need some help to find the correct method for my hypothesis. The aim is to find out whether the use of a certain procedure (case A: none / case B: use of my artifact) influences the time factor of a certain category (roles, competence, communication, deploy & release) For this purpose, a questionnaire was sent out where users in my company had to assess both the current situation and a theoretical target situation. For example, one category had the following questions about the evaluation:
1) How do you assess the delivery and release process currently practiced in your area with regard to delivery reliability? (A higher value is better) 2) How do you assess the deployment and release process described in the model with regard to delivery reliability? (A higher value is better
The participants were able to rate from 1 (insufficient) to 8 (very good) on a rating. First i thought this can be an ordinal scale, but i think its more of an interval scale. The goal is now to test my assumptions that everything is better, more amazing, faster with the new model (artifact) 😊 Since I am not that fit in statistics, I have the following questions: In my opinion I try to check whether there is a homogeneity problem or not, am I correct? I use the exact Fisher test, but as you can see in the question topic, i am not sure about it? Here are is one of my hypotheses:
H0: The use of the developed scaling framework and the number of unplanned work in the competence category are independent.
H1: The use of the developed scaling framework and the number of unplanned tasks in the competence category are not independent.