1. CHAPTER III
Research Methodology
This chapter presents the research design, population and sample of the study,
research instruments, data gathering procedures, and statistical treatment of data.
Research Design
This study used a descriptive survey method used to assess socio-
demographic profile such as sex, age, parent’s educational attainment, parent’s
occupation, size of income, the top three expressed career choices; preference of
student in choosing a career and anticipated problems that affect the career choices of
senior high school students of SPCNHS school year 2010-2011. Descriptive research is a
purposive process of data gathering, analyzing, classifying and tabulating data about
prevailing conditions, practices, beliefs, processes, trends, and cause-effect
relationships and then adequate and accurate interpretation about such data with or
without aid of statistical treatment
Population and Sample of the Study
The respondents of this study came from SPCNHS. Random sampling is used to
select randomly, samples from the different strata of the population.

2. Research Instrument
The instrument used was a researcher-made questionnaire checklist to gather the
needed data for the student’s profile. The draft of the questionnaire was drawn out based
on the researcher’s readings, previous studies, professional literature, published and
unpublished thesis relevant to the study. In the preparation of the instrument, the
requirements in the designing of good data collection instrument were considered.
For instance, statement describing the situations or issues pertaining was toned down
to accommodate the knowledge preparedness of the respondents. Open-ended options
were provided to accommodate to free formatted views related to the topics or issues. In
this way, the instrument is authorized to obtain valid responses of the students.
Preference for the use of the structured questionnaire is premised on several
research assumptions such as a) cost of being a least expensive means of gathering data,
b) avoidance of personal bias, c) less pressure for immediate response, and giving
the respondents a greater feeling of anonymity. In the end, it encouraged open responses
to sensitive issues at hand. In addition the instrument was validated by few consultant and
former professors before it laid on to the study.
Data Gathering Procedure
The first step before going to the testing proper is to make a request
letter. Upon approval, the researcher retrieves the request letter. The Principal, as well as
class advisers and other faculty members were selected in the administration.
In administering the questionnaire, the researcher was use the time allotted for vacant to
avoid distractions of class discussions. The student responses were given enough time to

3. answer the questions. After data gathering, the researcher now collected it for tallying the
scores and to apply the statistical treatment to be used with the study.
Treatment of Data
The responses made by students describing their socio-demographic profile,
Preference of choosing their career, and anticipated problems were presented. For
instance, sex, age, parent’s educational attainment, parent’s occupation. This was also
applied for top three career choice and students preference in making his career choice. In
providing overall picture of the socio-demographic profile and career preference, as well
as anticipated problems in pursuing their studies and its effect on students, summary
presentations will also presented.
Sex
1 – male
2 – female
Age
1 – 14 – 15
2 – 16 – 17
3 – 18 and above
Educational Attainment
1 – Elementary
2 – Secondary

4. 3 – College Graduate
4 – Graduate Degrees
Parents’ occupation
1 – White collar
2 – Blue collar
3 – none
Income
1 - 6,000 - Below
2 - 6,001 - 8,000
3 - 8,001 – 10,000
4 - 10,001 – 12,000
5 - 12,001 – 14,000
6 - 14,001 and above
Career preferences
1 – HRM
2 – Engineering
3 – Education
4 – Tourism
5 – Vocation
6 - Arts and sciences
7 - none

5. Statistical Treatment for Data
Responses to the questionnaire by senior high school students were statistically
analyzed with the data requirements of the study. Students were statistically analyzed
with the data instruments of the study. Descriptive statistics such as frequency count,
mean, percent and rank are considered.
To know if there is a correlation between the independent and dependent variables
Pearson Product Moment of Correlation Coefficient was utilized with 0.05 level of
significance.