Hi all,
I am trying to assess 3 unrelated factors in our organization. Together, they should give me an index of how well our workers in different countries are prepared to continuously learn using a digital learning system. (to be precise, I am looking at the readiness of working with a digital learning system, the readiness for lifelong learning itself, and the readiness to become multi-skilled).
The 3 factors have not been used together to explain a construct, but they are theorized to be factors for continuous lifelong learning.
My main target is to establish how high different countries score for each of these factors. I would then conclude each countries' readiness for each factor.
Since I am still a student and unexperienced, I have 2 questions:
1. Can and should I establish relationships between the 3 constructs?
2. The 3 constructs have been measured with multi-dimensional scales. Do I need to integrate all sub-scales / all dimensions, or is it fine to only include scales that are of interest for our index?
Thank you and best regards,
Julia
You should explore the relationship among the constructs, both in theory & statistically. I personally would say that you should only use those scales that are of theoretical interest. That will save you from fishing/p-hacking. You could repeat analyses using all the scales, but that should be very clearly reported as exploratory rather than addressing your hypotheses. I hope that helps.
There should be a need that you may investigate and create through motivation, giving them some tips for discipline.
Regarding the first question, you should try to show any statistical correlation between 3 factors, before you can use them into one formula for measuring continuously learning preparedness.
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