SPSS: Basic Correlation

To address the main concern of the Farrel Foundation which aims to demonstrate a correlation between depression and length of time in a skilled nursing facility, the null hypothesis “There is no statistically significant relationship between depression and length of stay in nursing homes in an effort to provide community options.” was tested. To do this a correlation analysis was conducted. The set scores on the length of stay in nursing homes were used as the independent variable while scores from depression were used as the explanatory variable (dependent variable). The results of the correlation are presented in Table 1 below. 

Table 1 : Correlation 

The Pearson Product-Moment correlation coefficient (r = .347) computed indicated that there was a negative correlation between depression and length of stay in nursing homes in an effort to provide community options. The analysis revealed lack of significant (p > 0.05) positive relationship between depression and length of stay in nursing homes in an effort to provide community options, with high levels of depression associated with the fact that most of the Nursing home residents stay longer in the facilities.

Based on the SPSS output, the sample size (N) is 22. This indicates that 22 Nursing home residents participated in the study. Moreover, the correlation coefficient, (r) is .347 while the significance (2-tailed) is .113.

Because the finding is not statistically significant, other data sources including document analysis from past kinds of literature as well as key informant interviews might be needed for analysis to advocate for an adult daycare in the community. This is because the provided information may in one way or the other were biased right from collection stages, ( Johnson, Onwuegbuzie, & Turner, 2007) .

References 

Johnson, R. B., Onwuegbuzie, A. J., & Turner, L. A. (2007). Toward a definition of mixed methods research.  Journal of mixed methods research ,  1 (2), 112-133.