First year average score (%) = β0 + β1non-academic member + β2satis first-year + β3math-center + u
Since first year average score is a percentage variable, it is often used in the level form as a result. So models with level-level or level-log will work best with this average score for estimating. However since we are measuring with more than two variables, B1non-academic member + β2satis first-year + β3math-center needs to be taken into account in order to calculate first year average scores. All of these variables are not large and can be presented in proportions or percentages, so I will be using the level-level model.
I will …show more content…
In the case of satisfaction of first year university life, this is based on the score of 1 to 5, converting these scores to percentages, score of 1 being 20% and score of 5 being 100%. For every 100% increase in satisfaction of first year university life, the student’s first year average score will increase by 3.184%. If say a student were to use a score of 1 (20%) then the student’s first year average score will increase still (however smaller) by 0.637%. In other words each score in satisfaction increases first year average score by 0.637%.
In the case of use of math center learning support, again this is a yes or no question (1 or 0), students that have used this learning support will see a decrease in first year average score of -10.099%.
Interpreting the tcalc and p-value in t-test
Average score first year (%) tcalc p-value
Non-academic member 1.98