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Data Analysis

Running head: DATA ANALYSIS 1
Data Analysis
Name
Institution
Date
DATA ANALYSIS 2
Results of the Data Analysis
Chi square analysis is used in the analysis of categorical variables. It actually tests the
independence between the variables. The null hypothesis is rejected when the p value is less than
or equal to the level of significance. Therefore on the basis of the study, the following is an SPSS
output of the chi square analysis between the job satisfaction and the gender.
Case Processing Summary
Cases
Valid
Missing
Total
DATA ANALYSIS 3
Sample
size
Sample
size
Percent
Sample
size
Percent
How satisfied do you
feel you are with your
job? * Gender of the
respondent
30
0
0.0%
30
100.0%
How satisfied do you feel you are with your job? * Gender of the
respondent Cross tabulation
Count
Gender of the
respondent
Total
Male
Female
How satisfied do you
feel you are with your
job?
Highly satisfied
5
8
13
Slightly satisfied
3
0
3
Satisfied
6
5
11
Dissatisfied
1
0
1
Slightly
Dissatisfied
0
1
1
Highly
Dissatisfied
0
1
1
DATA ANALYSIS 4
Total
15
15
30
Chi-Square Tests
Value
Degrees
of
freedom
Asymp. Sig.
(2-sided)
Pearson Chi-Square
6.783
a
5
.237
Likelihood Ratio
9.107
5
.105
Linear-by-Linear
Association
.019
1
.891
N of Valid Cases
30
a. 8 cells (66.7%) have expected count less than 5. The
minimum expected count is .50.
The value of the asymptotic level of significance of the Pearson Chi square between the gender
and job satisfaction is 0.237.This value is greater than 0.05 and therefore the two variables are
dependent of each other.
The following is an SPSS output of the chi square analysis between the job satisfaction and the
age group.
Case Processing Summary
DATA ANALYSIS 5
Cases
Valid
Missing
Total
Sample
size
Sample
size
Percent
Sample
size
Percent
How satisfied do you
feel you are with your
job? * Age of the
respondent
30
0
0.0%
30
100.0%
How satisfied do you feel you are with your job? * Age of the respondent Crosstabulation
Count
Age of the respondent
Under 25
25-29
30-39
40-49
50-59
60+
How satisfied do you
feel you are with your
job?
Highly satisfied
1
1
4
5
1
1
Slightly satisfied
0
0
2
0
1
0
Satisfied
0
0
2
1
8
0
Dissatisfied
0
0
1
0
0
0
Slightly
Dissatisfied
0
0
0
0
1
0
Highly Dissatisfied
0
0
0
1
0
0
Total
1
1
9
7
11
1
DATA ANALYSIS 6
Chi-Square Tests
Value
Degrees
of
freedom
Asymp. Sig.
(2-sided)
Pearson Chi-Square
22.647
a
25
.598
Likelihood Ratio
24.492
25
.491
Linear-by-Linear
Association
2.675
1
.102
N of Valid Cases
30
a. 36 cells (100.0%) have expected count less than 5. The
minimum expected count is .03.
The p value of the Pearson chi square between the job satisfaction and the age group is
0.598.This value is greater than 0.05 and therefore the two categorical variables are dependent of
each other.
The following is an SPSS output of the Chisquare analysis of the job satisfaction and the status
of employment.
Case Processing Summary
DATA ANALYSIS 7
Cases
Valid
Missing
Total
Sample
size
Sample
size
Percent
Sample
size
Percent
How satisfied do you
feel you are with your
job? * What is your
employment status as a
teacher?
30
0
0.0%
30
100.0%
How satisfied do you feel you are with your job? * What is your employment status as a
teacher? Crosstabulation
Count
What is your employment status as a
teacher?
Total
Full time
Part time(less
than 50% of
the full time
hours)
Part time(50-
90% of the
full time
hours)
Highly satisfied
7
2
4
13
Slightly satisfied
2
1
0
3
DATA ANALYSIS 8
How satisfied do you
feel you are with your
job?
Satisfied
8
0
3
11
Dissatisfied
1
0
0
1
Slightly
Dissatisfied
0
0
1
1
Highly
Dissatisfied
1
0
0
1
Total
19
3
8
30
Chi-Square Tests
Value
Degrees
of
freedom
Asymp. Sig.
(2-sided)
Pearson Chi-Square
8.245
a
10
.605
Likelihood Ratio
10.027
10
.438
Linear-by-Linear
Association
.146
1
.703
N of Valid Cases
30
a. 16 cells (88.9%) have expected count less than 5. The
minimum expected count is .10.
The p value of the Pearson chi square between the job satisfaction and the employment status is
0.605.This value is greater than 0.05.Therefore, the two variables dependent on each other.
DATA ANALYSIS 9
The following is an SPSS output of the chi square analysis between the job satisfaction and the
time of service.
Case Processing Summary
Cases
Valid
Missing
Total
Sample
size
Sample
size
Percent
Sample
size
Percent
How satisfied do you
feel you are with your
job? * How long have
you been in the
teaching profession?
30
0
0.0%
30
100.0%
Chi-Square Tests
Value
Degrees
of
freedom
Asymp. Sig.
(2-sided)
Pearson Chi-Square
34.613
a
25
.095
Likelihood Ratio
24.173
25
.509
DATA ANALYSIS 10
Linear-by-Linear
Association
.005
1
.945
N of Valid Cases
30
a. 34 cells (94.4%) have expected count less than 5. The
minimum expected count is .03.
The p value of the Pearson chi square between the job satisfaction and the time of service is
0.095.This value is greater than 0.05.Therefore, the two variables dependent on each other.
The following is an SPSS output of the chi square analysis between the job satisfaction and the
basic pay.
Case Processing Summary
Cases
Valid
Missing
Total
Sample
size
Sample
size
Percent
Sample
size
Percent
How satisfied do you
feel you are with your
job? * What is your
basic pay as an English
teacher?
30
0
0.0%
30
100.0%
DATA ANALYSIS 11
How satisfied do you feel you are with your job? * What is your basic pay as an English
teacher? Crosstabulation
Count
What is your basic pay as an English
teacher?
Total
Less than
3000 yen per
hour
3000 yen per
hour
More than
3000 yen per
hour
How satisfied do you
feel you are with your
job?
Highly satisfied
3
1
9
13
Slightly satisfied
2
0
1
3
Satisfied
3
1
7
11
Dissatisfied
0
0
1
1
Slightly
Dissatisfied
0
0
1
1
Highly
Dissatisfied
1
0
0
1
Total
9
2
19
30
Chi-Square Tests
DATA ANALYSIS 12
Value
Degrees
of
freedom
Asymp. Sig.
(2-sided)
Pearson Chi-Square
5.886
a
10
.825
Likelihood Ratio
6.575
10
.765
Linear-by-Linear
Association
.254
1
.614
N of Valid Cases
30
a. 16 cells (88.9%) have expected count less than 5. The
minimum expected count is .07.
The p value of the Pearson chi square between the job satisfaction and the basic pay is
0.825.This value is greater than 0.05.Therefore, the two variables dependent on each other.
The following is an SPSS output of the chi square analysis between the job satisfaction and the
salary satisfaction.
Case Processing Summary
Cases
Valid
Missing
Total
Sample
size
Sample
size
Percent
Sample
size
Percent
DATA ANALYSIS 13
How satisfied do you
feel you are with your
job? * How satisfied do
you feel you are with
your employment in
relation to your salary?
30
0
0.0%
30
100.0%
Chi-Square Tests
Value
Degrees
of
freedom
Asymp. Sig.
(2-sided)
Pearson Chi-Square
19.053
a
25
.795
Likelihood Ratio
18.305
25
.829
Linear-by-Linear
Association
.231
1
.631
N of Valid Cases
30
a. 36 cells (100.0%) have expected count less than 5. The
minimum expected count is .03.
The p value of the Pearson chi square between the job satisfaction and the salary satisfaction is
0.795.This value is greater than 0.05.Therefore, the two variables dependent on each other.
DATA ANALYSIS 14
The following is an SPSS output of the chi square analysis between the job satisfaction and the
trajectory of the pay.
Case Processing Summary
Cases
Valid
Missing
Total
Sample
size
Sample
size
Percent
Sample
size
Percent
How satisfied do you
feel you are with your
job? * How well can
you describe the
trajectory your pay has
taken in the past two
years?
30
0
0.0%
30
100.0%
Chi-Square Tests
Value
Degrees
of
freedom
Asymp. Sig.
(2-sided)
Pearson Chi-Square
18.700
a
15
.228
DATA ANALYSIS 15
Likelihood Ratio
15.904
15
.388
Linear-by-Linear
Association
.920
1
.337
N of Valid Cases
30
a. 23 cells (95.8%) have expected count less than 5. The
minimum expected count is .03.
The p value of the Pearson chi square between the job satisfaction and the trajectory of the pay is
0.228.This value is greater than 0.05.Therefore, the two variables dependent on each other.
The following is an SPSS output of the chi square analysis between the job satisfaction and the
education level of teaching.
Case Processing Summary
Cases
Valid
Missing
Total
Sample
size
Sample
size
Percent
Sample
size
Percent
How satisfied do you
feel you are with your
job? * At what level in
the Japanese School
system do you teach?
30
0
0.0%
30
100.0%
DATA ANALYSIS 16
Chi-Square Tests
Value
Degrees
of
freedom
Asymp. Sig.
(2-sided)
Pearson Chi-Square
14.876
a
20
.783
Likelihood Ratio
16.079
20
.712
Linear-by-Linear
Association
.384
1
.535
N of Valid Cases
30
a. 30 cells (100.0%) have expected count less than 5. The
minimum expected count is .03.
The p value of the Pearson chi square between the job satisfaction and the education level of
teaching is 0.783.This value is greater than 0.05.Therefore, the two variables dependent on each
other.
Testing of hypothesis
We wish to test hypothesis that the pay trajectory do not satisfy of the teachers. Since these are
two categorical variables, Chisquare analysis will be the most appropriate.
Therefore, the following is the SPSS output of the hypothesis.
DATA ANALYSIS 17
Chi-Square Tests
Value
Degrees
of
freedom
Asymp. Sig.
(2-sided)
Pearson Chi-Square
18.700
a
15
.228
Likelihood Ratio
15.904
15
.388
Linear-by-Linear
Association
.920
1
.337
N of Valid Cases
30
a. 23 cells (95.8%) have expected count less than 5. The
minimum expected count is .03.
The p value generated is 0.228 and therefore the hypothesis is rejected. Therefore, the pay
trajectory affects the satisfaction of the English teacher.
Summary of the findings
The analysis of the data indicates that the pay trajectory affects the job satisfaction of the teacher.
Obviously the pay of any worker needs to be reviewed as years go by so that their morale can be
boosted. The increase in the pay also indicate that the teachers have good experience from year
to year. Majority of the variables also indicate that they are dependent of the job satisfaction. The
analysis also indicate that the more the respondents age, the more the salary that the individual
receives. Consequently this means that such a respondent is satisfied with the job. The results
also indicate that the respondents who teach higher level of classes receive more than 3000 yen
DATA ANALYSIS 18
in the salary and this consequently mean that they are satisfied with the job. This study can be
extended to a larger sample so that the results can be confirmed. Since the study is concerned
with the pay and job satisfaction of the teachers in Japan, a large sample would give good results.
Probably a sample of 500 respondents could be considered for some confirmatory
analysis.However, the sample to be considered needs to be collected in a random manner. In a
random sample, all the respondents would have the same chances of being selected and therefore
bias will be avoided. Therefore, majority of the respondents indicated that there pay increased as
the time in the service increased. Some of them indicated that the pay was somehow reducing
given the workload. They felt that the workload was too much. Since the pay increased as
depending on the period of service and hence the pay trajectory, majority of the respondents
were satisfied with the job.
Reference
Levesque, R. (2005). SPSS programming and data management: A guide for SPSS and SAS
users. Spss.

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