SPSS Sample Report

Running head: SPSS SAMPLE REPORT 1
SPSS Sample Report
Name
Institution

SPSS DATA RESULTS 2
SPSS Data Results
Correlation is a statistic that measures the linear relationship that exists between two or more
variables (Pathak,2009). This is measured by the Pearson Correlation coefficient (r) as provided
by the SPSS software. The r values usually take the range of -1 to +1 where negative values
imply that the two variable shave a negative relationship while appositive reveals a positive
relationship (Crawford & Sybil L,2006).
In this study, the relationship between political action, education level, age, and interest
variables is studied to enable the making of viable conclusions. Political action is taken as the
dependent variable. This involves activities such as the signing of a petition, joining of strikes,
joining of boycotts and other types of protects. The independent variables were; age-how old the
respondent is, education-their highest level of education, gender-respondents gender and interest-
the extent an individual is interested in politics.
The dependent variable (political action) had a mean of 24.63 and standard deviation of 2.25 out
of the possible 30 marks. A total sample size of 1477 comprised of 756 (51.2%) males and 721
(48.8%) females. The mean age of respondents was 46.38 years with S.D=17.73 years. The
variable interest in politics had a mean of 2.49 out of 4
Analysis
This section will represent the findings from the correlation and t-tests analysis.

SPSS DATA RESULTS 3
Table 1: Correlation between Education and Political Action
Highest
educational
level
attained
political
actions
Highest educational level attained Pearson
Correlation
1 -.194**
Sig. (2-
tailed)
.000
political actions Pearson
Correlation
-.194** 1
Sig. (2-
tailed)
.000
**. Correlation is significant at the 0.01 level (2-tailed).
b. Listwise N=894
Pearson’s correlation coefficient depicted the existence of a weak significant negative
correlation between the highest education levels attained and the involvement in political actions.
Individuals with lower education levels were found to have a relatively higher score on the
political action, r= -.194, n= 894, p< .05.
The second table test the relationship between age and political actions
Table 2: Correlation between Age and Political Action
Age
political
actions
Age Pearson
Correlation
1 -0.02963
Sig. (2-
tailed)
.295
Political actions Pearson
Correlation
-0.02963 1
Sig. (2-
tailed)
.295
a. Listwise N=1249