the Assignment Instructions folder, there is an SPSS data file that will be the
basis for your analysis. The data included are fictional and were created
solely for this assignment.
The Center for
Epidemiologic Studies Depression Scale (CES-D scale) is often utilized to
measure depressive symptomology (Radloff, 1977). It is a self-assessment that
is completed by the individual. The CES-D contains 20-items rated on a 4-point
scale (0 = Rarely or None of the Time
to 3 = Most or All of the Time). The
phrase “Within the past week did you…” prefaces the questions in order to
emphasize recent depressive mood. Scores are summed and can range from 0 to 60.
Traditionally, individuals with scores over 16 are identified as “depressed”
(Weissman, et al., 1977), though due to high false positive rates, a score of
27 is considered a more useful cut-off (Zich, et al., 1990). The full scale can
be accessed at: http://www.chcr.brown.edu/pcoc/cesdscale.pdf. Items 4, 8, 12, and 16
are reversed to avoid “yay-saying” or “nay saying” (Radloff, 1977). Several
studies have validated four subscales across a variety of subgroups (i.e.,
depressive affect, well-being, somatic, and interpersonal) (Gliem & Gliem,
learn how to go from raw demographic data in SPSS to describing a sample.
assignment, you will:
1. Create a
table showing the most appropriate descriptive statistics for three (3) of the
demographic variables. You will be graded on the appropriateness of the
descriptive statistics and graphs for each of the demographic variables as well
as current APA format for your tables.
2. Create the
most appropriate graphs for the three variables you used for #1 above. Figure
captions should be in APA format.
3. Write a
summary paragraph describing the sample. For example: “The sample was based on
xxx# of college students from a private university in the southeastern United
States. X% of the students were males, x% females. Students were primarily… (give
the appropriate descriptor information with %’s or whatever fits the variables
you choose to analyze).