I want to measure impact of flex-time (in depended) on job satisfaction (Depended)
Data is to be collected on the like rt scale.
Can we measure positive or negative impact on job satisfaction who are using flexi time when compare with another group who are not using flexi time. with non parametric test
Your research estimates the differences in two samples (Groups) on a particular phenomena i.e., satisfaction. You can not estimate positive or negative impact, as your independent variable is not an ordinal or a scale variable rather it is a nominal scale, which has no meaningful order i.e,. higher or lower, which could be related to the dependent variable. This type of analysis is assessing the differential hypotheses.
Now, what you could do is: If the data is normal then run two independent samples t-test to assess whether the mean satisfaction level is different for those using flexi time and for those who don't use flexi time. The significance level (t-statistic > 2) would mean the two groups exhibit different levels of satisfaction.
Thanks Rehman
But if data is not normal, then is there any method exists.
likert scales are ordinal and you simply would need to do a non-parametric test such as wilcoxon rank-sum test. The direction of impact if significant you should deduct from the tabulation. Do not run tests before even looking at the data and knowing it well.
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