e e e e e e e e e e e e e e e 1
Descriptive statistics were used for this section.
FREQUENCIES
Frequency statistics were used for the sex variable because the data was a
categorical variable. Therefore, descriptive statistics would not have been helpful as
the categories are not ordered.
TABLEE 1
PARTICIPANTS
E E E E E E E E E E E E E E E STATISTICS
SEX
N
Valid
Missing
20
0
This table indicates that the total number of participants involved in the study was
20, with no missing information.
TABLEE 2
NUMBERE OFE PARTICIPANTS
E
e e e e e e e e e e e e e e e 2
E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E SEX
Frequency
Percent
Valid
Presentation
Cumulative
Percent
Valid
Female
Male
Total
10
10
20
50.0
50.0
100.0
50.0
50.0
100.0
50.0
100.0
From the output above, male participants were ten and female participants, each
representing 50% of the participants in the study.
DESCRIPTIVEE ANALYSIS
e e e e e e e e e e Descriptive analyses of the age variable indicated that the youngest
participant was 18 years old while the oldest was 56 years. The mean age of the
sample was M = 40.25, SD = 12. 62 years.
HYPOTHESISE TESTING
In the current section, statistical analyses were used to test the significance of the
relationship between job satisfaction and spirituality. The study projected a
significant positive relationship between job satisfaction and spirituality based on the
reviewed literature. A simple regression was the appropriate statistical test since the
e e e e e e e e e e e e e e e 3
dependent (job satisfaction) and the independent (spirituality) were quantitative
variables.
TABLEE 3
VARIABLES
DESCRIPTIVEE STATISTICS
Mean
Std. Deviation
N
Job satisfactory
68.50
16.195
20
spirituality
90.70
26.232
20
Table 3 above shows the descriptive summary of the independent and dependent
variables of the study. Mean Job satisfaction was M – 68.50, SD = 16.20. On the
other hand, the mean spirituality among the participants was M =90.70, SD = 26.23.
TABLEE 4
REGRESSIONE MODEL
MODELE SUMMARY
Model
R
R Square
Adjusted R
Square
Std. The
error in the
Estimate
1
.642a
.412
.379
12.758
a. Predictors: (Constant), spirituality
e e e e e e e e e e e e e e e 4
Table 5 above summarizes the goodness of fit of the regression model. The model
had a coefficient of R2 = 0.412, which indicated it accounted for 41.2% variation in job
satisfaction. The coefficient correlation suggests a moderate positive relationship
between job satisfaction and spirituality. An increase in spirituality with one score led
to a 0.642 increase in job satisfaction.
TABLEE 5
ANOVA
Model
Sum of
Squares
df
Mean
Square
F
Sig.
1
Regression
2053.109
1
2053.109
12.613
.002b
Residual
2929.891
18
162.772
Total
4983.000
19
Table 4 above shows ANOVA for the regression model. The result of the ANOVA
suggests that spirituality is a significant predictor of job satisfaction, F (1,18) = 12.61,
p = 0.02, at a 0.05 level of significance. Therefore, there is enough evidence to reject
the null hypothesis and conclude that the level of spirituality is significant in
determining job satisfaction among workers.
TABLEE 6
e e e e e e e e e e e e e e e 5
MODELE COEFFICIENTE SUMMARY
COEFFICIENTS
Model
Unstandardized
Coefficients
Standardized
Coefficients
t
Sig.
B
Std. Error
Beta
1
(Constant)
32.558
10.515
3.096
.006
spirituality
.396
.112
.642
3.552
.002
a. Dependent Variable: Job satisfactory
Table 5 above shows a summary of the model coefficients. The model suggests that
the job satisfaction score for absolutely non-spiritual individuals was M = 32.56, SE =
10.52. Job satisfaction increased by 0.396 for each unit increase in spirituality. The
table also indicates the significance of spirituality in predicting jobs satisfaction.
E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E
DISCUSSION
The study described above used a sample of ten male and ten female participants to
investigate the relationship between spirituality and job satisfaction. The study used
regression analyses to evaluate the significance of spirituality in predicting job
satisfaction. The regression results indicated that spirituality predicted job
satisfaction significantly and accounted for 41.2% of the variation in job satisfaction.
e e e e e e e e e e e e e e e 6
The study results align with Dennis et al. (2003), who found a positive and significant
correlation between religiousness and job satisfaction in a multinational study that
included participants from 38 countries. The study noted that religious workers view
their work as a service to others, leading to a higher satisfaction level. The result of
the current research is also supported by Horvath (2015), who found that religious
bank CEOs were more satisfied with their work than non-religious CEOs. The study
attributed the positive correlation to spiritual leaders' trust levels, leading to better job
performance and, ultimately, job satisfaction. Finally, the results are backed by Koenig
and Bussing's (2010) findings. Their study found that job satisfaction mediated the
relationship between spirituality and health outcomes. Koenig and Bussing's study
found evidence suggesting that spiritual workers exhibited better physical results,
including BMI, than non-spiritual workers. The study further found that the
relationship was mediated by satisfaction.
While the study found a significant relationship between spirituality and satisfaction,
its results are limited by scales used to measure the variables. There were no tests
to establish the relationship between the validity and reliability of the measures.
Therefore, there is a chance that the scales do not measure the intended attributes
of spirituality and job satisfaction.
The current study results have implications for managers and business owners
worldwide. The study suggests that job satisfaction can be improved by spiritual
practice. Given the importance of job satisfaction in improving job efficiency,
managers can encourage spirituality to enhance job satisfaction. The study suggests
e e e e e e e e e e e e e e e 7
a similar analysis to investigate the relationship between spirituality and mental
health outcomes. The research is imperative due to the growing number of mental
health patients worldwide.
E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E
E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E
REFERENCES
Dennis, D., & Dennis, B. (2003). Spirituality@Work.Health. American Journal Of Health
Education, 34(5),297-301. e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e
https://doi.org/10.1080/19325037.2003.10603566 Links to an external site.
Horvath, M. (2015). Predicting Work Outcomes from Religiosity and Perceived Calling.
The Career Development Quarterly, 63(2), 141-155. e e e e e e e e e e e e e e e e e e e e e e e e e
https://doi.org/10.1002/cdq.12010 Links to an external site.
Koenig, H. G., & Bussing, A. (2010). The Duke University Religion Index (DUREL): a
five-item measure used in epidemiological studies. e e e e
e e e e e e e e e e e e e e e e e e e Religions, 1(1), 78-85
