83 CHAPTER -IV DATA ANALYSIS 4.1 INTRODUCTION Data analysis is one of the important features of statistics. To find out the meaning of data collected data is first arranged , classified , manipulated and summarized in order to get the answers of the research questions. It helps to test the research hypothesis and give research a statistical backbone. Analyzing of data involves both descriptive and inferential statistics. In descriptive analysis the data are summarized and reduced to few meaningful statistics. The purpose of analysis is to reduce data to intelligible and interpretable forms that the relations of research can be studies and tested. The results obtained from the analysis of the sample can be generalized on the population. According to Stecher and Borko (2002), quantitative studies make it “possible to measure the reactions of a great many people to a limited set of questions, thus facilitating comparison and statistical aggregation of the data.” In this research the researcher has collected data from 200 samples on the basis of investigating instruments. Collected data have been arranged in tabulation form and analyzed to get the inferences. After collecting the data they were processed and analyzed by the investigator under the following headings: 1. Academic achievement of high school girls. 2. Motivation of girls. 3. Influence of motivation on academic achievement of girls. 4. Relationship between academic achievement and motivation of the girls.
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83
CHAPTER -IV
DATA ANALYSIS
4.1 INTRODUCTION
Data analysis is one of the important features of statistics. To find out the meaning of
data collected data is first arranged , classified , manipulated and summarized in order to get
the answers of the research questions. It helps to test the research hypothesis and give
research a statistical backbone. Analyzing of data involves both descriptive and inferential
statistics. In descriptive analysis the data are summarized and reduced to few meaningful
statistics. The purpose of analysis is to reduce data to intelligible and interpretable forms that
the relations of research can be studies and tested. The results obtained from the analysis of
the sample can be generalized on the population.
According to Stecher and Borko (2002), quantitative studies make it “possible to measure
the reactions of a great many people to a limited set of questions, thus facilitating comparison
and statistical aggregation of the data.”
In this research the researcher has collected data from 200 samples on the basis of
investigating instruments. Collected data have been arranged in tabulation form and analyzed
to get the inferences. After collecting the data they were processed and analyzed by the
investigator under the following headings:
1. Academic achievement of high school girls.
2. Motivation of girls.
3. Influence of motivation on academic achievement of girls.
4. Relationship between academic achievement and motivation of the girls.
84
4.2 ACADEMIC ACHIEVEMENT
HYPOTHESIS : 1
There is no significant difference between urban and rural girls in their academic
achievement.
TABLE No : 4.1
Habitation wise Distribution of the Sample
HABITATION No. of
GIRLS
MEAN S.D. T-RATIO LEVEL OF
SIGNIFICANCE
Urban 140 8.56 3.07 1.55 NS
Rural 60 7.88 3.03
( At 5% level of significance, the table value is 1.96)
It is inferred from the above table no.: 4.1 that there is no significant difference between
urban and rural girls in their academic achievement. This is shown in figure no: 4.1.
Figure No: 4.1
Habitation Wise Distribution of the Sample
0
50
100
150
Urban Rural
140
60
85
HYPOTHESIS No. : 02
There is no significant difference between pre-matric and post-matric education of girls’
father in their academic achievement.
TABLE NO: 4.2
Father’s Qualification-wise Distribution of the Sample
FATHER’S
QUALIFICATION
No. of
GIRLS
MEAN S.D. T-RATIO LEVEL OF
SIGNIFICANCE
PRE-MATRIC 60 7.13 2.67 0.21 NS
POST- MATRIC 140 8.85 3.11
( At 5% level of significance, the table value is 1.96)
It is inferred from the above table no.: 4.2 that there is no significant difference between pre-
matric and post-matric education of girls’ father in their academic achievement. This is
shown in Figure no:4.2.
Figure No: 4.2
Father's Qualification Wise Distribution of The Sample
0
20
40
60
80
100
120
140
Pre-Matric Post-Matric
60
140
86
HYPOTHESIS NO. -03
There is no significant difference in between pre-matric and post-matric education of girls’
mother in their academic achievement.
TABLE NO: 4.3
Mother’s Qualification wise Distribution Of The Sample
MOTHER’S
QUALIFICATION
No. of
GIRLS
MEAN S.D. T-RATIO LEVEL OF
SIGNIFICANCE
PRE-MATRIC 87 7.17 2.62 1.18 NS
POST- MATRIC 113 9.23 3.10
( At 5% level of significance, the table value is 1.96)
It is inferred from the above table no.: 4.3 that there is no significant difference in between
pre-matric and post-matric education of girls’ mother in their academic achievement. This is
shown in Figure no:4.3.
Figure no:4.3
Mother’s Qualification Wise Distribution Of The Sample
0
20
40
60
80
100
120
Pre-Matric Post-Matric
87113
87
HYPOTHESIS NO: 04
There is no significant difference between government and minority-aided school girls in
their academic achievement.
TABLE NO:4.4
School Wise Distribution of The Sample
Type of SCHOOL No. of
GIRLS
MEAN S.D. T-RATIO LEVEL OF
SIGNIFICANCE
MINORITY
AIDED SCHOOL
65 10.11 2.99 1.63 NS
GOVERNMENT
SCHOOL
135 8.42 11.26
( At 5% level of significance, the table value is 1.96)
It is inferred from the above table no: 4.4 that there is no significant difference in between
government and minority-aided school girls in their academic achievement. This is shown in
figure no: 4.4.
Figure No: 4.4
School wise Distribution of the Sample
0
50
100
150
Minority Aided
School
Government
School
65
135
88
HYPOTHESIS NO: 05
There is no significant difference in below Rs. 40000 and above Rs. 40000 annual income of
girls’ family in their academic achievement.
TABLE NO: 4.5
Income wise Distribution of the Sample
INCOME of the
FAMILY
(annually)
No. of
GIRLS
MEAN S.D. T-RATIO LEVEL OF
SIGNIFICANCE
BELOW Rs.40000 126 7.84 3.14 3.13 S
ABOVE Rs.40000 74 9.18 2.78
( At 5% level of significance, the table value is 1.96)
It is inferred from the above table no.: 4.5 that there is a significant difference in below Rs.
40000 and above Rs. 40000 annual income of girls’ family in their academic achievement.
While comparing the mean score of the income of the family below Rs.40000 (7.84) and
above Rs. 40000 (9.18) in their academic achievement, girls belonging to family having
above Rs. 40000 income are better in their academic achievement. This is shown in figure no:
4.5.
Figure No: 4.5
Income wise Distribution of the Sample
0
20
40
60
80
100
120
140
Below RS 40000 Above RS 40000
12674
89
4.3 MOTIVATION
HYPOTHESIS NO: 06
There is no significant difference between urban and rural girls in their motivation.
TABLE No : 4.6
Habitation wise Distribution of the Sample
HABITATION No. of
GIRLS
MEAN S.D. T-RATIO LEVEL OF
SIGNIFICANCE
Urban 125 144.29 17.71 0.43 NS
Rural 75 143.22 16.90
( At 5% level of significance, the table value is 1.96)
It is inferred from the above table no.: 4.6 that there is no significant difference between
urban and rural girls in their motivation. This is shown in figure no: 4.6.
Figure No: 4.6.
Habitation wise Distribution of the Sample
0
20
40
60
80
100
120
140
Urban Rural
12575
90
HYPOTHESIS NO: 07
There is no significant difference between pre-matric and post-matric education of girls’
father in their motivation.
TABLE NO: 4.7
Father's Qualification wise Distribution of the Sample
FATHER’S
QUALIFICATION
No. of
GIRLS
MEAN S.D. T-RATIO LEVEL OF
SIGNIFICANCE
PRE-MATRIC 53 144.40 23.71 0.74 NS
POST- MATRIC 147 143.54 15.28
( At 5% level of significance, the table value is 1.96)
It is inferred from the above table no.: 4.7 that there is no significant difference between pre-
matric and post-matric education of girls’ father in their motivation. This is shown in figure
no: 4.7.
Figure No: 4.7
Father's Qualification wise Distribution of the Sample
0
50
100
150
Pre-Matric Post- Matric
53
147
91
HYPOTHESIS NO: 08
There is no significant difference in between pre-matric and post-matric education of girls’
mother in their motivation.
TABLE NO: 4.8
Mother's Qualification wise Distribution of the Sample
MOTHER’S
QUALIFICATION
No. of
GIRLS
MEAN S.D. T-RATIO LEVEL OF
SIGNIFICANCE
PRE-MATRIC 109 144.30 91 0.07 NS
POST- MATRIC 91 144.14 18.21
( At 5% level of significance, the table value is 1.96)
It is inferred from the above table no.: 4.8 that there is no significant difference between pre-
matric and post-matric education of girls’ mother in their motivation. This is shown in the
figure no: 4.8.
Figure No: 4.8
Mother's Qualification wise Distribution of the Sample
80
85
90
95
100
105
110
Pre-Matric Post -Matric
109
91
92
HYPOTHESIS NO: 09
There is no significant difference between government and aided school girls in their
motivation.
TABLE NO: 4.9
School wise Distribution of the Sample
TYPE of
SCHOOL
No. of
GIRLS
MEAN S.D. T-RATIO LEVEL OF
SIGNIFICANCE
MINORITY
AIDED SCHOOL
65 139.48 15.97 2.88 S
GOVERNMENT
SCHOOL
135 146.52 16.64
( At 5% level of significance, the table value is 1.96)
It is inferred from the above table no.: 4.9 that there is a significant difference between pre-
matric and post-matric education of girls’ mother in their motivation. While comparing the
mean score of the types of school -minority aided school (139.48) and government school
(146.52) in their motivation, girls of government school are more motivated. This is shown
in figure no: 4.9.
Figure no: 4.9
School wise Distribution of the Sample
020406080
100120140
Minority Aided
School
Government
School
65
135
93
HYPOTHESIS NO: 10
There is no significant difference in below Rs. 40000 and above Rs. 40000 annual income of
girls’ family in their motivation.
TABLE NO: 4.10
Income wise Distribution of the Sample
INCOME of the
FAMILY
(annually)
No. of
GIRLS
MEAN S.D. T-RATIO LEVEL OF
SIGNIFICANCE
BELOW Rs.40000 126 144.06 17.01 0.18 NS
ABOVE Rs.40000 74 144.51 16.32
( At 5% level of significance, the table value is 1.96)
It is inferred from the above table no.: 4.10 that there is no significant difference in below Rs.
40000 and above Rs. 40000 annual income of girls’ family in their motivation. This is shown
in figure no: 4.10.
Figure no:4.10
Income wise Distribution of the Sample
0
20
40
60
80
100
120
140
Below RS 40000 Above RS 40000
126
74
94
4.4 RELATIONSHIP BETWEEN ACADEMIC ACHIEVEMENT AND
MOTIVATION
HYPOTHESIS No: 11
There is no significant relationship between academic achievement and motivation of urban
girls.
TABLE NO: 4.11
Relationship Between Academic Achievement and Motivation of Urban Girls
( At 5% level of significance and 138 df, the table value is 0.182)
It is inferred from the above table no.: 4.11 that there is a significant relationship between
academic achievement and motivation of urban girls.
ACADEMIC
ACHIEVEMENT
OF URBAN
GIRLS
MOTIVATION
OF URBAN
GIRLS
N r
LEVEL OF
SIGNIFICANCE
∑X ∑X2 ∑Y ∑Y
2 ∑XY
140 0.80 S
1194 11500 20264 2977180 172111
95
HYPOTHESIS No: 12
There is no significant relationship between academic achievement and motivation of rural
girls.
TABLE NO: 4.12
Relationship Between Academic Achievement and Motivation of Rural Girls
( At 5% level of significance and 58 df, the table value is 0.251)
It is inferred from the above table no.: 4.12 that there is no significant relationship between
academic achievement and motivation of rural girls.
ACADEMIC
ACHIEVEMENT
OF RURAL
GIRLS
MOTIVATION
OF RURAL
GIRLS
N r
LEVEL OF
SIGNIFICANCE
∑X ∑X2 ∑Y ∑Y
2 ∑XY
60 0.03 NS
471 4249 8582 123884 67441
96
HYPOTHESIS No: 13
There is no significant relationship between academic achievement and motivation of pre-
matric education of girls’ father.
TABLE NO:4.13
Relationship Between Academic Achievement and Motivation of Pre-Matric Education of
Girls’ Father
( At 5% level of significance and 58 df the table value is -0.251)
It is inferred from the above table no.: 4.13 that there is no significant relationship between
academic achievement and motivation of of pre-matric education of girls’ father.
ACADEMIC
ACHIEVEMENT
OF GIRLS
MOTIVATION
OF GIRLS
N r
LEVEL OF
SIGNIFICANCE
∑X ∑X2 ∑Y ∑Y
2 ∑XY
60 -0.12 NS
428 3464 8785 1308701 62299
97
HYPOTHESIS No: 14
There is no significant relationship between academic achievement and motivation of post -
matric education of girls’ father.
TABLE NO: 4.14
Relationship Between Academic Achievement and Motivation of Post -Matric Education of
Girls’ Father
( At 5% level of significance and 138 df the table value is 0.182)
It is inferred from the above table no.: 4.14 that there is no significant relationship between
academic achievement and motivation of post -matric education of girls’ father.
ACADEMIC
ACHIEVEMENT
OF GIRLS
MOTIVATION
OF GIRLS
N r
LEVEL OF
SIGNIFICANCE
∑X ∑X2 ∑Y ∑Y
2 ∑XY
140 0.001 NS
1239 12309 20061 2907363 177532
98
HYPOTHESIS No: 15
There is no significant relationship between academic achievement and motivation of pre-
matric education of girls’ mother.
TABLE NO: 4.15
Relationship Between Academic Achievement and Motivation of Pre-Matric Education of
Girls’ Mother
( At 5% level of significance and 85 df the table value -0.211)
It is inferred from the above table no.: 4.15 that there is a significant relationship between
academic achievement and motivation of pre-matric education of girls’ mother.
ACADEMIC
ACHIEVEMENT
OF GIRLS
MOTIVATION
OF GIRLS
N r
LEVEL OF
SIGNIFICANCE
∑X ∑X2 ∑Y ∑Y
2 ∑XY
87 -0.28 S
624 5070 12513 1827975 89353
99
HYPOTHESIS No: 16
There is no significant relationship between academic achievement and motivation of post -
matric education of girls’ mother.
TABLE NO: 4.16
Relationship Between Academic Achievement and Motivation of Post -Matric Education of
Girls’ Mother
( At 5% level of significance and 111 df the table value is 0.195)
It is inferred from the above table no.: 4.16 that there is no significant relationship between
academic achievement and motivation of post -matric education of girls’ mother.
ACADEMIC
ACHIEVEMENT
OF GIRLS
MOTIVATION
OF GIRLS
N r
LEVEL OF
SIGNIFICANCE
∑X ∑X2 ∑Y ∑Y
2 ∑XY
113 0 NS
1043 10703 16333 2388089 150840
100
HYPOTHESIS No: 17
There is no significant relationship between academic achievement and motivation of girls’
family in their family income being below Rs. 40000.
TABLE NO: 4.17
Relationship Between Academic Achievement and Motivation of Girls’ Family in their
Family Income being Below Rs. 40000
( At 5% level of significance and 124 df the table value is 0.175)
It is inferred from the above table no.: 4.17 that there is a significant relationship between
academic achievement and motivation of girls’ family in their family income being below Rs.
40000.
ACADEMIC
ACHIEVEMENT
OF GIRLS
MOTIVATION
OF GIRLS
N r
LEVEL OF
SIGNIFICANCE
∑X ∑X2 ∑Y ∑Y
2 ∑XY
126 0.28 S
988 8980 18152 2651198 140464
101
HYPOTHESIS No: 18
There is no significant relationship between academic achievement and motivation of girls’
family in their family income being above Rs. 40000.
TABLE NO: 4.18
Relationship Between Academic Achievement and Motivation of Girls’ Family in their
Family Income being Above Rs. 40000
( At 5% level of significance and 72 df the table value is -0.234)
It is inferred from the above table no.: 4.18 that there is no significant relationship between
academic achievement and motivation of girls’ family in their family income being above Rs.
40000.
ACADEMIC
ACHIEVEMENT
OF GIRLS
MOTIVATION
OF GIRLS
N r
LEVEL OF
SIGNIFICANCE
∑X ∑X2 ∑Y ∑Y
2 ∑XY
74 -0.08 NS
679 6793 10694 1564866 97856
102
HYPOTHESIS No: 19
There is no significant relationship between academic achievement and motivation of girls of
minority aided school
TABLE NO: 4.19
Relationship Between Academic Achievement and Motivation of Girls of Minority Aided
School
( At 5% level of significance and 63 df the table value is 0.244)
It is inferred from the above table no.: 4.19 that there is a significant relationship between
academic achievement and motivation of girls of minority aided school.
ACADEMIC
ACHIEVEMENT OF
GIRLS OF
MINORITY-AIDED
SCHOOL
MOTIVATION OF
GIRLS OF
MINORITY-AIDED
SCHOOL
N r
LEVEL OF
SIGNIFICANCE
∑X ∑X2 ∑Y ∑Y
2 ∑XY
65 0.38 S
657 7213 9066 1280826 91519
103
HYPOTHESIS No: 20
There is no significant relationship between academic achievement and motivation of girls of
government schools.
Table No: 4.20
Relationship Between Academic Achievement and Motivation of Girls of Government
Schools
( At 5% level of significance and 133 df the table value is -0.182)
It is inferred from the above table no.: 4.20 that there is no significant relationship between
academic achievement and motivation of girls of government schools.
ACADEMIC
ACHIEVEMENT OF
GIRLS OF
GOVERNMENT
SCHOOL
MOTIVATION OF
GIRLS OF
GOVERNMENT
SCHOOLS
N r
LEVEL OF
SIGNIFICANCE
∑X ∑X2 ∑Y ∑Y
2 ∑XY
135 -0.14 S
1010 8560 19780 2935238 147107
104
4.5 INFLUENCE OF MOTIVATION ON ACADEMIC ACHIEVEMENT
HYPOTHESIS No: 21
There is no significant influence of motivation on academic achievement of girls.
TABLE NO: 4.21
Influence of Motivation on Academic Achievement of Girls
( At 5% level of significance and 198 df the table value is -0.139)
It is inferred from the above table no.: 4.21 that there is a significant influence of motivation