CHAPTER

III

Research Methodology

This chapter deals with the presentation of the research design,

subject of the study, the research instrument, the data gathering procedure and

the statistical treatment of data.

Research

Design

To attain the objective of the study, the researcher will

use the descriptive method in determining the healthy and unhealthy extremes of

Mechanical Engineering students in the University Of Batangas.

The correlation technique will also

be used to determine whether a relationship exists between academic

codependency and the students’ academic performance. According to Burns and

Grove, 2003, a descriptive method “is designed to provide a picture of a

situation as it naturally happens”. It may be used to justify current practice

and make judgment and also to develop theories.

Participants/Subject

of the study

The researchers will conduct this study among Mechanical

Engineering students in the University Of Batangas.

Research

Instruments

The data in this study will be gathered using a

questionnaire answered by thirty (30) Mechanical Engineering students. The

questionnaire is divided into four parts. The first part was about the

respondents’ general information. The second part was the extremes of academic

codependence, third are factors of academic codependence and the last part is

about the roles of academic codependence in their academics. The respondents

are asked to fill up and check the items on which they think is most

appropriate.

The researchers will personally deliver the questionnaire

to all the respondents to assure a hundred percent return and to clarify the

problems that may arise in the course of answering the questionnaire.

Data Gathering Procedure

The

researchers used questionnaire as their instrument. These were distributed

among Mechanical Engineering Students in University of Batangas. The

researchers provided a questionnaire that was checked and revised with the help

of the researchers’ adviser The Questionnaire was made in order to answer all

the questions and have proof for the current study that requires feedback

and/or answers from respondents which is the Mechanical Engineering Students.

The survey was created using suitable questions modified from related

researchers and individually formed by the researchers. The survey is composed

of several questions that are relevant to the research variables. To avoid

balance or play-safe answers the researchers decided to remove the middle

choices and questionnaires are left with 4 choices with the ranking 4 as the

highest and 1 as the lowest. The researchers also designed the questionnaires

to have an optional need of identity from the respondents. The data were

gathered through interviews using questionnaires. The respondents were given

time to respond then the researchers collected the survey.

Statistical

Treatment of Data

The following statistical tools were utilized for

reliable analysis and interpretation of data collected.

1. Percentage Distribution will be used to determine the percentage

of a part of a whole such as a specified number of respondents in relation to

the entire population.

The following formula will be

used:

P = n/N x 100

Where; n = number of the respondents

N =

Total number of the respondents

2. Ranking will be used to determine the increasing or

decreasing degree of the variables. The largest frequency will be ranked first;

the second will be ranked 2nd and so on down to the least rank.

3. Weighted Mean will also be used to weigh the degree or magnitude

of the variables. This will also show the degree of relevance of the chosen

response of the respondents.

The following formula will be

used:

W= Fx/N

Where: F = frequency of

responses per unit weight

N = total number of respondent.

4. T-test Method will be

utilized to assess whether the average of two groups are statistically

different from each other. It is used to determine whether there is a

significant difference between the means of two groups or variables.

The following formula will be used:

Where: x1¯x1¯ = Mean of first

set of values

x2¯x2¯ = Mean of second set of

values

S1 = Standard deviation of first

set of values

S2 = Standard deviation of second

set of values

n1 = Total number of values in

first set

n2 = Total

number of values in second set.