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.

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unpublished thesis relevant to the study.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

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

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

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.