Data Analysis in SPSS
This part comprises analysis of data in demand to response the
items of the research. The data were too coded in the arithmetical form and
then entered into the software SPSS. Data
were analyzed in software SPSS descriptive quantitative analysis were use. The
analysis of data and its interpretation are the describing bellow:
Independent sample t-test
Table
In parametric statistics, independent sample t-test is used when
the means of two independent groups are to be compared to see a significant difference. Here independent
sample t-test is used to compare the perceptions of respondents’ on the basis
of gender.
|
Group
Statistics
|
|||||
|
|
Gender
|
N
|
Mean
|
Std.
Deviation
|
Std.
Error Mean
|
|
Union
Counsel
|
Male
|
40
|
1.50
|
.506
|
.080
|
|
Female
|
40
|
1.50
|
.506
|
.080
|
|
|
Type
of School RYK
|
Male
|
40
|
1.50
|
.506
|
.080
|
|
Female
|
40
|
1.50
|
.506
|
.080
|
|
|
Independent
Samples Test
|
||||||||||
|
|
Levene's
Test for Equality of Variances
|
t-test
for Equality of Means
|
||||||||
|
F
|
Sig.
|
t
|
df
|
Sig.
(2-tailed)
|
Mean
Difference
|
Std.
Error Difference
|
95%
Confidence Interval of the Difference
|
|||
|
Lower
|
Upper
|
|||||||||
|
Union Counsel
|
Equal variances assumed
|
.000
|
1.000
|
.000
|
78
|
1.000
|
.000
|
.113
|
-.225
|
.225
|
|
Equal variances not assumed
|
|
|
.000
|
78.000
|
1.000
|
.000
|
.113
|
-.225
|
.225
|
|
|
Type of School RYK
|
Equal variances assumed
|
.000
|
1.000
|
.000
|
78
|
1.000
|
.000
|
.113
|
-.225
|
.225
|
|
Equal variances not assumed
|
|
|
.000
|
78.000
|
1.000
|
.000
|
.113
|
-.225
|
.225
|
|
Independent
sample t-test indicates that there is no significant difference (t=.000,
sig2-tailed=1.000) between the readiness of male and female respondents on the
basis of union level about to include students with physical impairment.
ANOVA test
Table
|
Descriptives
|
||||||||
|
Teaching Students with Physical
Disabilities
|
||||||||
|
|
N
|
Mean
|
Std.
Deviation
|
Std.
Error
|
95%
Confidence Interval for Mean
|
Minimum
|
Maximum
|
|
|
Lower
Bound
|
Upper
Bound
|
|||||||
|
zero to two
|
23
|
1.70
|
.470
|
.098
|
1.49
|
1.90
|
1
|
2
|
|
three to more
|
21
|
1.48
|
.512
|
.112
|
1.24
|
1.71
|
1
|
2
|
|
none
|
36
|
3.00
|
.000
|
.000
|
3.00
|
3.00
|
3
|
3
|
|
Total
|
80
|
2.23
|
.795
|
.089
|
2.05
|
2.40
|
1
|
3
|
|
ANOVA
|
|||||
|
Teaching Students with Physical
Disabilities
|
|||||
|
|
Sum
of Squares
|
df
|
Mean
Square
|
F
|
Sig.
|
|
Between Groups
|
39.842
|
2
|
19.921
|
151.759
|
.000
|
|
Within Groups
|
10.108
|
77
|
.131
|
|
|
|
Total
|
49.950
|
79
|
|
|
|
The ANOVA
indicates that there is significant difference (F=151.759, sig=.000) between
the readiness of male and female respondents about to include students with
physical impairment.
|
Multiple
Comparisons
|
||||||
|
Dependent Variable: Teaching Students with Physical
Disabilities
|
||||||
|
LSD
|
||||||
|
(I) Students with Physical Disabilities Included
|
(J) Students with Physical Disabilities Included
|
Mean
Difference (I-J)
|
Std.
Error
|
Sig.
|
95%
Confidence Interval
|
|
|
Lower
Bound
|
Upper
Bound
|
|||||
|
zero to two
|
three to more
|
.219*
|
.109
|
.048
|
.00
|
.44
|
|
none
|
-1.304*
|
.097
|
.000
|
-1.50
|
-1.11
|
|
|
three to more
|
zero to two
|
-.219*
|
.109
|
.048
|
-.44
|
.00
|
|
none
|
-1.524*
|
.099
|
.000
|
-1.72
|
-1.33
|
|
|
none
|
zero to two
|
1.304*
|
.097
|
.000
|
1.11
|
1.50
|
|
three to more
|
1.524*
|
.099
|
.000
|
1.33
|
1.72
|
|
|
*. The mean difference is significant at the 0.05 level.
|
||||||
The LSD Post
Hoc analysis comparison test indicated that there is a significant difference
between the readiness of male and female respondents about to include students
with physical impairment zero to two children and no children included (sig=.000)
and three to more and none (sig=.000) which means this comparison is
significant.
No comments:
Post a Comment