Sunday, November 17, 2019
Interpreting a Factor Analysis Essay Example | Topics and Well Written Essays - 500 words
Interpreting a Factor Analysis - Essay Example This low education affects their ability to either secure any or a well-paying job (Vijayakumar, 2013). Furthermore, the younger generations have lower job skills and work experience compared to the older persons. Due to their limited access to work/ well paying work, young people are more prone to poverty and, consequently, higher financial dependency (Gupta, 2007). These two studies successfully demonstrate that there is a relationship between age and dependency ââ¬â the higher the age, the lower the level of dependency. Based on these findings, I seek to investigate whether this hypothetical relationship between age and financial dependency is valid for the data at hand. The following hypothesis is investigated: That implies that, for this study, higher levels of dependency are expected to correspond to lower ages. A bivariate correlation analysis was run in the SPSS using the computed value for ââ¬Å"dependencyâ⬠and age. The test was run at the 5% level of significance. The findings are contained in the following section. The average ages of the 1146 participants is 32.4 years (Std. dev. = 11.25), while the average dependency score is 14.25 (Std. dev. = 4.56). The correlation between the ages of participants and dependency is -0.107 (p The findings of this study fall in line with the findings of both Gupta (2007) and Vijavakumar (2013) which established the existence of significant correlations between the ages and dependency levels of participants. This confirms validity of the ââ¬Å"dependencyâ⬠scale. Since the relationship between age and dependency is inverse (negative correlation coefficient), and having confirmed the validity of the dependency scale, we conclude that the older generations have relatively lower levels of financial dependency, while the younger individuals have relatively higher levels of financial
Subscribe to:
Post Comments (Atom)
No comments:
Post a Comment
Note: Only a member of this blog may post a comment.