In: Math
Research question #2. Is there a relationship between the relationship between the juveniles’ age and the change of the scores from pretest to posttest (the larger the change, the better the outcome)? (13 points)
SPSS Dataset |
SPSS Data for HW (500 cases).sav (available in Canvas) |
Variable Names in the dataset |
age: Age of juveniles |
change: Change of the scores from pretest to posttest |
Null Hypothesis: There is no significant relationship between Age of juveniles(IV) and Change of the scores from pretest to posttest (DV)
Alternative Hypothesis: There is a significant relationship between Age of juveniles(IV) and Change of the scores from pretest to posttest (DV)
We establish a linear relationship as
Y = a + bX using principle of least squares
Where, Y is dependent variable (DV) is Change: Change of the scores from pretest to posttest
And X is Independent variable (IV) is Age: Age of juveniles
We test whether b=0 under null hypothesis against b is not =0 under alter native hypothesis using t test at 5% level of significance.
If calculated modulus of t value is less than the critical value of t, we accept null hypothesis and conclude that there is no significant relationship between Age of juveniles(IV) and Change of the scores from pretest to posttest (DV), otherwise, we reject null hypothesis and conclude that there is a significant relationship between Age of juveniles(IV) and Change of the scores from pretest to posttest (DV)