|
Correlations
|
|
|
gender
|
gpa
|
final
|
total
|
|
gender
|
Pearson Correlation
|
1
|
-.194*
|
-.140
|
-.120
|
|
Sig. (2-tailed)
|
|
.048
|
.156
|
.224
|
|
N
|
105
|
105
|
105
|
105
|
|
gpa
|
Pearson Correlation
|
-.194*
|
1
|
.498**
|
.432**
|
|
Sig. (2-tailed)
|
.048
|
|
.000
|
.000
|
|
N
|
105
|
105
|
105
|
105
|
|
final
|
Pearson Correlation
|
-.140
|
.498**
|
1
|
.883**
|
|
Sig. (2-tailed)
|
.156
|
.000
|
|
.000
|
|
N
|
105
|
105
|
105
|
105
|
|
total
|
Pearson Correlation
|
-.120
|
.432**
|
.883**
|
1
|
|
Sig. (2-tailed)
|
.224
|
.000
|
.000
|
|
|
N
|
105
|
105
|
105
|
105
|
|
*. Correlation is significant at the 0.05 level (2-tailed).
|
|
**. Correlation is significant at the 0.01 level (2-tailed).
|
First, report the lowest magnitude correlation in the intercorrelation matrix, including degrees of freedom, correlation coefficient, p value, and effect size. Interpret the effect size. Specify whether or not to reject the null hypothesis for this correlation.
Second, report the highest magnitude correlation in the intercorrelation matrix, including degrees of freedom, correlation coefficient, p value, and effect size. Interpret the effect size. Specify whether or not to reject the null hypothesis for this correlation.
Third, report the correlation between gpa and final, including degrees of freedom, correlation coefficient, p value, and effect size. Interpret the effect size. Analyze the correlation in terms of the null hypothesis.