Higher education

 

REVISION. STATISTICAL ANALYSIS IS NEEDED

in the self-efficacy doc, there is a column about family. 3 different categories 1. parents went to university 2.a sibling went to university
3.im the first from my family 4. multiple family members went to university.
need to look at to see are there are differences between different categories. to make it easier separate out the first in family versus any member went to university it makes statistics easier than you would be comparing just 2 groups rather than comparing multiple groups. then do first in the family – the family went

got all numbers on self-efficacy look on all questions as a functional family

self-efficacy got 5 different domains
independent learning
communication
data handling
subject content
practical

each has 10 question scale 1-5
each domain sum all of the 10-50 or take mean 1-5 if take a mean it will get to the continuous distribution

set up each domain
for example, independent learning versus do first in family versus not in first in the family thats the test we need to look for . then we can ask if is there are statistically significant differences in the scores the people have on dependent learning based on whether they were first in the family or not first in their family went to university
this is a none parametric test that need , something like a t Test relies on being normal distribution.
If you do 2 groups is Mann Whitney test
If multiple groups kruscal Wallis test
Running these 2 statistical test will allow to asses is there are difference in a self efficacy when it comes to independent learning dependent on family background, communication ,data handling, subject content, practical etc. also can do overall score all of those things together for example might be there is no difference on overall score but there is a difference for independent learning but its kind of neutralised by all the other categories.

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