Table 4. Correlation and regression analysis between indices
An examination of Table 4 shows a positive correlation between anxiety
and insomnia (p<0.05, Cohen’s r:0.12), a moderate negative
correlation between anxiety and organizational support
(p<0.05, Cohen’s r:0.89), and a moderate negative correlation
between anxiety and coworker support (p<0.05, Cohen’s r:0.89).
Anxiety was analyzed to be a dependent variable in the linear regression
model (enter model) and the variables ISI, OSI and CSI as continuous
measurement variables, gender, having children, marital status, smoking
and alcohol consumption as dummy variables, and as a result the
variables ISI, OSI, gender (reference group: female), and having
children (reference group: I have children) were found to be significant
for the linear regression model (p<0.05 and
F4.307:106.347). Distribution of the dummy variables
conformed to normal distribution, with VIF<10,
tolerance<2 and Durbin-Watson<2.5. 58.1% of
variability which may occur in anxiety can be explained by insomnia,
organizational support, gender, and having children
(R2=0.581). One unit of variation in insomnia will
raise anxiety by 0.761 units, being female 1.521 units, and having
children 1.196 units, while a one-unit increase in perceived
organizational support will lower anxiety by 0.098 units. The variable
of coworker support was not significant for the linear regression
equation (p>0.05) (Table 4).