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7/27/2019 Padma Mam Interpret
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SECTION – I
The sample in terms of demographic variables selected for the study were
school, age, religion, caste, educational qualification, marital status, type of family, family income, history of breast cancer in the family, number of
children, known personal history of breast cancer, menstrual status, use of oral contraceptive drugs, source of knowledge, among the school teachers in
government and private schools working at selected schools, Hyderabad.The information on demographic variables was obtained from self-
administered structured questionnaire.
Frequency and percentage distribution of teachers according to their
school
Table – I
n = 50
School Frequency Percent
PRIVATE 25 50.0
GOVERNMENT 25 50.0
Total 50 100.0
The above table represents that out of 50 samples (teachers) half of
them were from private school and another half are from
government school.
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Frequency and percentage distribution of teachers according
to their age
Table – II
n = 50
Age Frequency Percent
20 - 29 years 10 20.0
30 - 39 years 25 50.0
40 - 49 years 12 24.0
50 - 59 years 3 6.0
Total 50 100.0
The above table shows that majority of teachers i.e. 25 were from
the age group 30-39 years, followed by 12 from the age group 40-
49 years, next 10 were from the age group of 20-29 years and the
least were from 50-59 years i.e. 3 teachers.
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Frequency and percentage distribution of teachers according
to their religion.
Table – III
n = 50
Religion Frequency Percent
Hindu 32 64.0
Christian 10 20.0
Muslim 8 16.0
Total 50 100.0
The above table depicts that more than half of the teachers (i.e. 64%)
belonged to Hindu religion, 20% were Christians and 16% were Muslims.
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Frequency and percentage distribution of teachers according
to their caste.
Table – IV
n = 50
Caste Frequency Percent
ST 4 8.0
SC 8 16.0
OBC 14 28.0
OC 24 48.0
Total 50 100.0
The above table views the caste distribution among the teachers, about 48%of teachers were from OC, 28% were OBC, 16% were SC, and 8% were ST.
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Frequency and percentage distribution of teachers according
to their educational qualification.
Table – V
n = 50
Educational
qualificationFrequency Percent
Degree/ Graduation 19 38.0
Post Graduation 22 44.0
PG with B.Ed 5 10.0
PG with M.Ed 2 4.0
Ph.D 2 4.0
Total 50 100.0
The above table represents that most of the teachers about 44% had done
post graduation, 38% had done graduation, 10% had done PG with B.Ed,
and 4% had completed both PG with M.Ed and Ph.D.
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Frequency and percentage distribution of teachers according
to their marital status.
Table – VI
n = 50
Marital status Frequency Percent
Unmarried 8 16.0
Married 39 78.0
Widowed 2 4.0
Divorced 1 2.0
Total 50 100.0
The above table interprets that major proportion of teachers were marriedand a lower proportion were widowed (i.e. 4%) and divorced (i.e. 2%).
About 16% teachers were unmarried.
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Frequency and percentage distribution of teachers according
to their type of family.
Table – VII
n = 50
Type of family Frequency Percent
Nucleolus Family 39 78.0
Joint Family 10 20.0
Extended Family 1 2.0
Total 50 100.0
The above table views that nuclear family; occupy a major proportion
of 78.0%, followed by joint family, with 20.0%, and the least being extended
family with 2.0%.
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Frequency and percentage distribution of teachers according
to their family income.
Table – VIII
n = 50
Family income Frequency Percent
Below Rs.5000/- 2 4.0
Rs.5000/- - Rs.10,000/- 4 8.0
Rs.10,001/- - Rs.15,000/- 10 20.0
Rs.15,001/- and above 34 68.0
Total 50 100.0
The above table describes that more than half of the teachers i.e. 68% were
from family income from Rs.15, 001/- and above, 20% were from family
income between Rs.10, 001/- - Rs.15, 000/-, followed by8% teachers family
income of Rs.5000/- - Rs.10, 000/-and the least 4% belonged to family
income below Rs.5000/-.
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Frequency and percentage distribution of teachers according
to their history of breast cancer in the family.
Table – IX
n = 50
History of breast cancer in the
family Frequency Percent
Yes 5 10.0
No 45 90.0
Total 50 100.0
The above table represents that major portion i.e. 45 teachers had no family
history of breast cancer, while 5 teachers had family history of breast cancer.
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Frequency and percentage distribution of teachers according
to their number of children.
Table – X
n = 50
Number of children Frequency Percent
Don't have children 4 8.0
One child 21 42.0
More than 2 children 25 50.0
Total 50 100.0
The above table illustrates that half of the teachers had more than 2 children,
less than half i.e. 42% had single child and very few i.e. 8% had no children.
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Frequency and percentage distribution of teachers according
to their known personal history of breast cancer.
Table – XI
n = 50
known personal history of breast
cancer Frequency Percent
Yes 5 10
No 45 90.0
Total 50 100.0
The above table depicts that among 50 teachers, 5 teachers had known their
personal history of breast cancer, whereas 45 had not known their personal
history of breast cancer.
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Frequency and percentage distribution of teachers according
to their menstrual status.
Table – XII
n = 50
Menstrual status Frequency Percent
Regular menstrual cycles 27 54.0
Irregular menstrual cycles 20 40.0
Absence of menstrual cycles(Menopause)
3 6.0
Total 50 100.0
The above table shows that major proportion i.e. 54% teachers had regular
menstrual cycles, followed by 40% teachers had irregular menstrual cycles,
and the least being 6% were in menopause.
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Frequency and percentage distribution of teachers according
to their use of contraceptive drugs.
Table – XIII
n = 50
Contraceptive drugs Frequency Percent
Yes 15 30.0
No 35 70.0
Total 50 100.0
The above table views that more than half i.e. 70% teachers did not use
contraceptive drugs and less than half i.e. 30% teachers had used
contraceptive drugs.
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Frequency and percentage distribution of teachers according
to their source of information regarding breast cancer.
Table – XIV
n = 50
Source of information regarding
breast cancerFrequency Percent
Through friends 9 18.0
Family members 1 2.0
Through newspapers and magazines 21 42.0
Television and internet 14 28.0
Through health care personnel 5 10.0
Total 50 100.0
The above table shows that most of the teachers (i.e. 21) got information
through newspapers and magazines, followed by 14 teachers from television
and internet, 9 teachers information source was through friends, 5 teachers
through health care personnel, and the least i.e. one teachers source of
information was from family members.
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SECTION II
This section deals with the analysis of knowledge and practice scores of
nurses regarding documentation of patient care in terms of mean andstandard deviation according to selected variables.
TABLE – XV
n = 50
SECTION III
This section presents the findings on the relationship between the
knowledge of teachers regarding breast cancer with selected demographic
variables.The null hypotheses for knowledge, were formulated as follows:
H01: There will be no significant association between the age of teachers and
their knowledge about “breast cancer”.
H02: There will be no significant association between the religion of teachers
and their knowledge about “breast cancer”.
H03: There will be no significant association between the caste of teachersand their knowledge about “breast cancer”.
H04: There will be no significant association between the type of school and
their knowledge about “breast cancer”.
H05: There will be no significant association between the educational
qualification of teachers and their knowledge about “breast cancer”.
H06: There will be no significant association between the marital status of
teachers and their knowledge about “ breast cancer ”.
H07: There will be no significant association between the type of family of
teachers and their knowledge about “ breast cancer ”.
H08: There will be no significant association between the family income of
teachers and their knowledge about “ breast cancer ”.
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H09: There will be no significant association between the history of breast
cancer in the family and their knowledge about “ breast cancer ”.
H010: There will be no significant association between the number of
children of teachers and their knowledge about “ breast cancer ”.
H011: There will be no significant association between the known personal
history of breast cancer of teachers and their knowledge about “breast
cancer”.
H012: There will be no significant association between the menstrual status
of teachers and their knowledge about “breast cancer”.
H013: There will be no significant association between the use of oral
contraceptive drugs of teachers and their knowledge about “breast cancer”.
H014: There will be no significant association between the source of
knowledge of teachers and their knowledge about “breast cancer”.
TABLE - 14
Below table represents the Chi-square association of selected demographic
variables with the knowledge scores regarding “breast cancer” among
teachers.
n = 50
Variables 2 Value2 Value at 5%
level DF
Age (H01)3.831(NS) 12.59 (6 DF)
Religion (H02)6.127 (NS) 9.49 (4 DF)
Caste (H03)4.713 (NS) 12.59 (6 DF)
Type of school (H04)4.619 (NS) 5.99 (2 DF)
Educational qualification (H05)27.657* 15.51 (8 DF)
Marital status (H06)29.863 * 12.59 (6 DF)
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Type of family (H07)55.652 * 9.49 (4 DF)
Family income (H08)5.707 (NS) 12.59 (6 DF)
History of breast cancer in the family(H09)
1.323 (NS) 5.99 (2DF)
Number of children (H010) 9.590* 9.49 (4 DF)
Personal history of breast cancer
(H011)
55.481* 12.59 (6 DF)
Menstrual status (H012) 4.939 (NS) 9.49 (4 DF)
Use of oral contraceptive drugs (H013) 2.778 (NS) 5.99 (2DF)
Source of knowledge (H014) 13.360 (NS) 15.51 (8 DF)
NS - not significant at 0.05%level of significance
* - significant at 0.05%level of significance
DF - degrees of freedom
The above table shows that Chi – square values of teachers knowledgeregarding breast cancer with selected variables, type of family (2 =
55.652), educational qualification (2 = 27.657), marital status (2 =
29.863), number of children (2 = 9.593), known personal history of breast
cancer (2 = 51.481), were found significant at 5% level of significance.
Hence, there was significant relationship between the knowledge of
teachers regarding breast cancer and their type of family, educational
qualification, marital status, number of children, and known personal history
of breast cancer.
Hence, researcher rejected the null hypotheses i.e. H05, H06, H07, H010,
H011, and accepted research hypotheses for the same variables.
The chi – square values of teachers knowledge regarding breast cancer
with selected variables, age(2 = 3.831) religion (2 = 6.127), caste (2 =
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4.712), type of school (2 = 4.619), family income (2 = 5.707), history of
breast cancer in the family (2 = 1.323), menstrual status (2 = 4.939), oral
contraceptive drugs (2 = 2.778), source of knowledge (2 = 13.360), were
not significant at 0.05%level of significance.
Therefore the researcher has accepted the null hypothesis H01. H02,
H03, H04, H08, H09, H012, H013,and H014. Their by researcher has rejected the
research hypothesis for the same variables.
7/27/2019 Padma Mam Interpret
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SECTION II
This section deals with the analysis of knowledge and practice scores of
nurses regarding documentation of patient care in terms of mean andstandard deviation according to selected variables.
TABLE – XV
n = 50
SECTION III
This section presents the findings on the relationship between the
practices of teachers regarding breast cancer with selected demographicvariables.
The null hypotheses for practices, were formulated as follows:
H01: There will be no significant association between the age of teachers and
their practices about “breast cancer”.
H02: There will be no significant association between the religion of teachers
and their practices about “breast cancer”. H03: There will be no significant association between the caste of teachers
and their practices about “breast cancer”.
H04: There will be no significant association between the type of school and
their practices about “breast cancer”.
H05: There will be no significant association between the educational
qualification of teachers and their practices about “breast cancer”.
H06: There will be no significant association between the marital status of teachers and their practices about “breast cancer”.
H07: There will be no significant association between the type of family of
teachers and their practices about “breast cancer”.
H08: There will be no significant association between the family income of
teachers and their practices about “breast cancer”.
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H09: There will be no significant association between the history of breast
cancer in the family and their practices about “breast cancer”.
H010: There will be no significant association between the number of
children of teachers and their practices about “breast cancer”.
H011: There will be no significant association between the known personal
history of breast cancer of teachers and their practices about “breast cancer”.
H012: There will be no significant association between the menstrual status
of teachers and their practices about “breast cancer”.
H013: There will be no significant association between the use of oral
contraceptive drugs of teachers and their practices about “breast cancer”.
H014: There will be no significant association between the source of
knowledge of teachers and their practices about “breast cancer”.
TABLE - 14
Below table represents the Chi-square association of selected demographic
variables with the knowledge scores regarding “breast cancer” among
teachers.
n = 50
Variables 2 Value2 Value at 5%
level DF
Age (H01)3.831(NS) 12.59 (6 DF)
Religion (H02)6.127 (NS) 9.49 (4 DF)
Caste (H03)4.713 (NS) 12.59 (6 DF)
Type of school (H04) 4.619 (NS) 5.99 (2 DF)
Educational qualification (H05)27.657* 15.51 (8 DF)
Marital status (H06)29.863 * 12.59 (6 DF)
Type of family (H07)55.652 * 9.49 (4 DF)
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Family income (H08)5.707 (NS) 12.59 (6 DF)
History of breast cancer in the family
(H09)
1.323 (NS) 5.99 (2DF)
Number of children (H010) 9.590* 9.49 (4 DF)
Personal history of breast cancer
(H011)
55.481* 12.59 (6 DF)
Menstrual status (H012) 4.939 (NS) 9.49 (4 DF)
Use of oral contraceptive drugs (H013) 2.778 (NS) 5.99 (2DF)
Source of knowledge (H014) 13.360 (NS) 15.51 (8 DF)
NS - not significant at 0.05%level of significance
* - significant at 0.05%level of significance
DF - degrees of freedom
The above table shows that Chi – square values of teachers knowledge
regarding breast cancer with selected variables, type of family (2 =
55.652), educational qualification (2 = 27.657), marital status (2 =
29.863), number of children (2 = 9.593), known personal history of breast
cancer (2 = 51.481), were found significant at 5% level of significance.
Hence, there was significant relationship between the knowledge of
teachers regarding breast cancer and their type of family, educational
qualification, marital status, number of children, and known personal history
of breast cancer.
Hence, researcher rejected the null hypotheses i.e. H05, H06, H07, H010,
H011, and accepted research hypotheses for the same variables.
The chi – square values of teachers knowledge regarding breast cancer
with selected variables, age(2 = 3.831) religion (2 = 6.127), caste (2 =
4.712), type of school (2 = 4.619), family income (2 = 5.707), history of
breast cancer in the family (2 = 1.323), menstrual status (2 = 4.939), oral
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contraceptive drugs (2 = 2.778), source of knowledge (2 = 13.360), were
not significant at 0.05%level of significance.
Therefore the researcher has accepted the null hypothesis H01. H02,
H03, H04, H08, H09, H012, H013,and H014. Their by researcher has rejected the
research hypothesis for the same variables.