CHAPTERIIIResearch MethodologyThis chapter deals with the presentation of the research design,subject of the study, the research instrument, the data gathering procedure andthe statistical treatment of data.ResearchDesign To attain the objective of the study, the researcher willuse the descriptive method in determining the healthy and unhealthy extremes ofMechanical Engineering students in the University Of Batangas. The correlation technique will alsobe used to determine whether a relationship exists between academiccodependency and the students’ academic performance. According to Burns andGrove, 2003, a descriptive method “is designed to provide a picture of asituation as it naturally happens”. It may be used to justify current practiceand make judgment and also to develop theories.
Participants/Subjectof the study The researchers will conduct this study among MechanicalEngineering students in the University Of Batangas. ResearchInstruments The data in this study will be gathered using aquestionnaire answered by thirty (30) Mechanical Engineering students. Thequestionnaire is divided into four parts. The first part was about therespondents’ general information.
The second part was the extremes of academiccodependence, third are factors of academic codependence and the last part isabout the roles of academic codependence in their academics. The respondentsare asked to fill up and check the items on which they think is mostappropriate. The researchers will personally deliver the questionnaireto all the respondents to assure a hundred percent return and to clarify theproblems that may arise in the course of answering the questionnaire. Data Gathering Procedure Theresearchers used questionnaire as their instrument. These were distributedamong Mechanical Engineering Students in University of Batangas. Theresearchers provided a questionnaire that was checked and revised with the helpof the researchers’ adviser The Questionnaire was made in order to answer allthe questions and have proof for the current study that requires feedbackand/or answers from respondents which is the Mechanical Engineering Students.The survey was created using suitable questions modified from relatedresearchers and individually formed by the researchers.
The survey is composedof several questions that are relevant to the research variables. To avoidbalance or play-safe answers the researchers decided to remove the middlechoices and questionnaires are left with 4 choices with the ranking 4 as thehighest and 1 as the lowest. The researchers also designed the questionnairesto have an optional need of identity from the respondents. The data weregathered through interviews using questionnaires.
The respondents were giventime to respond then the researchers collected the survey.StatisticalTreatment of Data The following statistical tools were utilized forreliable analysis and interpretation of data collected.1. Percentage Distribution will be used to determine the percentageof a part of a whole such as a specified number of respondents in relation tothe entire population. The following formula will beused: 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 ordecreasing 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 magnitudeof the variables. This will also show the degree of relevance of the chosenresponse of the respondents. The following formula will beused: W= Fx/NWhere: F = frequency ofresponses per unit weight N = total number of respondent.
4. T-test Method will beutilized to assess whether the average of two groups are statisticallydifferent from each other. It is used to determine whether there is asignificant difference between the means of two groups or variables. The following formula will be used: Where: x1¯x1¯ = Mean of firstset of values x2¯x2¯ = Mean of second set ofvalues S1 = Standard deviation of firstset of values S2 = Standard deviation of secondset of values n1 = Total number of values infirst set n2 = Totalnumber of values in second set.