The table you provided shows the results of tests of normality for different variables. These tests are conducted to determine whether a given variable follows a normal distribution. The Shapiro-Wilk test is commonly used for this purpose.
The table is divided into three sections: AGE, ***, and YEAR LEVEL. Each section contains three variables: Time Management, Study Techniques, and Learning Environment. The table also includes the GPA variable.
For each variable, the table provides the Shapiro-Wilk statistic and the corresponding p-value (Sig.). The Shapiro-Wilk test assumes the null hypothesis that the data is normally distributed. If the p-value is less than the significance level (usually 0.05), we reject the null hypothesis and conclude that the data is not normally distributed.
Based on the results in the table, the following conclusions can be made:
1. Age:
- For the Time Management variable, the p-values for the different age ranges are 0.081, 0.000, 0.739, and missing. Since the p-value is less than 0.05 for the age range 22-25, we can conclude that the data in this age range is not normally distributed.
- For the Study Techniques variable, the p-values for the different age ranges are 0.823, 0.002, 0.179, and missing. Since the p-value is less than 0.05 for the age range 22-25, we can conclude that the data in this age range is not normally distributed.
- For the Learning Environment variable, the p-values for the different age ranges are 0.011, 0.142, 0.630, and missing. Since the p-value is less than 0.05 for the age range 18-21, we can conclude that the data in this age range is not normally distributed.
2. ***:
- For the Time Management variable, the p-values for male and female are 0.174 and 0.000, respectively. Since the p-value is less than 0.05 for females, we can conclude that the data for females is not normally distributed.
- For the Study Techniques variable, the p-values for male and female are 0.206 and 0.001, respectively. Since the p-value is less than 0.05 for females, we can conclude that the data for females is not normally distributed.
- For the Learning Environment variable, the p-values for male and female are 0.597 and 0.025, respectively. Since the p-value is less than 0.05 for females, we can conclude that the data for females is not normally distributed.
3. Year Level:
- For the Time Management variable, the p-values for the different year levels are 0.383, 0.016, 0.010, and 0.000. Since the p-value is less than 0.05 for the year levels 2, 3, and 4, we can conclude that the data for these year levels is not normally distributed.
- For the Study Techniques variable, the p-values for the different year levels are 0.651, 0.538, 0.250, and 0.001. Since the p-value is less than 0.05 for the year level 4, we can conclude that the data for this year level is not normally distributed.
- For the Learning Environment variable, the p-values for the different year levels are 0.001, 0.265, 0.053, and 0.395. Since the p-value is less than 0.05 for the year level 1, we can conclude that the data for this year level is not normally distributed.
4. GPA:
- For the Time Management variable, the p-values for the
