3.3 Scoring based on the CES-D tool
After calculating the total CES-D score for the sample population of 257
adults, a histogram was created (Figure 1). The median central
tendency score was 20. To describe our measure of variability around our
median, the interquartile range was 17, Q1 was 12, and Q3 was 28.50.
After removing the outliers from our existing data, our population
number decreased to 253. When bivariate analysis was repeated on the
edited data, we noted no change in the already significant parameters,
which were age and household income. Hence, the data presented and
discussed in this research paper include outliers.
Figure 2 displays a boxplot with a wide range of scores,
indicating significant variability. The data appear to be positively
skewed, despite having an interquartile range equal to the difference
between the first and second quartiles. Four outliers were identified by
SPSS based on the upper fence value of 53. No outliers were observed on
the negative side due to the nature of the CES-D scores, which cannot be
below 0. The five-point summary is as follows: Q0 = 0, Q1 = 12, Q2 = 20,
Q3 = 28.5, and Q4 = 51.