4.chapter 4
DESCRIPTION
thesisTRANSCRIPT
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CHAPTER IV
PRESENTATION, ANALYSIS AND INTERPRETATION OF DATA
The data gathered from the respondents were analysed
and interpreted according to the specific questions that are
directed this study.
I. PROFILE OF THE RESPONDENTS
TABLE 1Distribution of Respondents by Course
COURSE FREQUENCY PERCENTAGE%
CACBS Criminology 13 13.3ABLLT 2 2.0AB Political Science 2 2.0AB Sociology 2 2.0
CABSABS Fi AquaBS ForestryBSA ASBS AED
11114
1.01.01.01.04.0
CEBSCE 7 7.1BSEE 5 5.1BSME 3 3.0BSAE 1 1.0
BAHRM 6 6.1Management 3 3.0Marketing 3 3.0Economics 2 2.0
6.1BSA 6COED
BEED 8 8.1BSHE 3 3.0BEEDHE 2 2.0BSIE 2 2.0BTET 2 2.0BSED ENG 1 1.0
50
BSED Social StudiesBSED Math
11
1.01.0
BSED MAPEH 1 1.0CVM
CVM 1 1.0BSMT 2 2.0
CSBSIT 5 5.1BS Bio 2 2.0BS ESBS Math
21
2.01.0
CNBS Nursing 2 2.0
TOTAL 99 100%
Table 1 presents the respondents’ distribution by
course.
This showed the total number of respondents as a result
from computed value using the Slovin’s formula. Students
were divided according to the total number of students in
the university and in every course. Of the 99 respondents,
13 or 13% were from BS Criminology; 8 or 8% were from BS
Elementary Education; 7 or 7% were from BS Civil
Engineering; 6 or 6% were from BS Hotel and Restaurant
Management and BS Accountancy; 5 or 5% were from BS
Information Technology and BS Electrical Engineering; 4 or
4% from BS Agricultural Education; 3 or 3% from BS
Mechanical Engineering, BS Home Economics, BS Marketing and
BS Management; 2 or 2% were from ABLLT, AB Political
Science, AB Sociology, BS Economics, BS Elementary Education
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major in Home Economics, BS Industrial Education, BTET, BS
Meat Technology, BS Biology, BS Environmental Science and BS
Nursing; and 1 or 1% from BS Agriculture, BS Fisheries and
Aquatic Resources, BS Forestry, BSA AS, BS Agricultural
Engineering, BS Education major in English, Social Studies,
Mathematics and MAPEH, Veterinary Medicine and BS
Mathematics.
Data revealed that majority of the respondents came
from BS Criminology. This implies that BS Criminology the
biggest enrolees in the university.
TABLE 2 Distribution of Respondents by Subject/Concept
TOPICS/CONCEPTS ON DISASTER PREPAREDNESS IN ANY SUBJECT
FREQUENCY PERCENTAGE
NSTP-CWTS 8 8.08
NSTP- ROTC 2 2.02
Earthquake Engineering 3 3.03
Geology Engineering 3 3.03
Environmental Engineering 3 3.03
Emergency Disaster Nursing 2 2.02
Earthquake Drill 5 0.50
Community Development 1 1.01
First Aid and Water Supply 1 1.01
TOTAL 28/99 23.73/100%
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Table 2 presents the respondents’ distribution subject
or concept.
Out of 99 respondents, 28 or 28.28% stated that they
have concepts or subjects in relation to disaster
preparedness. In order of frequency counts 8 or 8.08% for
NSTP-CWTS; 5.05% for Earthquake Drill; 3 or 3% for
Earthquake Engineering, Geology Engineering and
Environmental Engineering; 2 or 2% for Emergency Disaster
Nursing; and 1 or 1% for Community Development and Water
Supply. Data revealed that not all courses in UEP have
tackled disaster preparedness in their course. The NSTP-CWTS
gathered the highest score. It implies that R.A. 10121 have
already been integrated in the NSTP curriculum.
Table 3
Distribution of Respondents by Number of Trainings
NUMBER OF TRAININGS ATTENDED FREQUENCY PERCENTAGE
Fire and Earthquake Drill 13 12.87
Disaster Preparedness 2 1.98
Fire Prevention Month/Drill 2 1.98
Disaster Management 1 0.99
Disaster Awareness 1 0.99
Fire Drills 1 0.99
Information Drive Campaign 1 0.99
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Disaster Calamities Seminar 1 0.99TOTAL 22/99 21.78%/100%
Table 3 presents the respondents’ distribution by
number of trainings.
Of the 99 respondents, 22 or 21.78% attended trainings
or seminars. This data shows that the Fire and Earthquake
drill has the highest and is most common training that the
respondents have attended. Therefore, the Bureau of
Protection in collaboration with the PDRRMC is active in
implementing the mandates of R.A. 10121.
According to Stimulus-Response theory, people tend to
do practices and preparations such as drills and trainings
which help them to avoid or lessen the damages during
occurrence of natural disasters. The findings in table 3
upholds this theory to the extent of implementing one of its
mandates as per the law.