Minggu, 07 Agustus 2016

TECHNIQUE OF COLLECTING DATA

TECHNIQUE OF COLLECTING DATA
There are two main points which influences quality of data from research such as the quality of research instrument and the quality of collecting data. The first includes validity and reliability of instrument. The later involves the accurate way to collect data.
            Collecting data can be done in various settings, sources, and techniques. Setting can be conducted in natural setting, laboratory, at home, seminar, discussion, on road, and so forth. Source consists of primary and secondary sources. The last relates to interview, questionnaire, and observation.
            In this paper, the writer will only discuss on the way to collect data using interview, questionnaire, and observation.
A. Interview
An interview is a conversation between an interviewer and an interviewee that has structure and purpose. According to Kvale (1996, 5) conversation is a basic mode of human interaction. Human beings talk with each other-they interact, pose questions, and answer questions. It goes beyond the spontaneous exchange of views as in everyday conversation, and becomes a careful questioning and listening approach with purpose of obtaining thoroughly tested knowledge.
            Before conducting an interview, an interviewer should govern stages of it. There are seven stages as suggested by Kvale (1996, 88) of interview as follows:
  1. Thematizing; formulate the purpose of investigation and describe the concept of the topic to be investigated.
  2. Designing; plan the design of the study, taking into consideration all seven stages of the investigation, before the interviewing starts.
  3. Interviewing; conduct the interviews based on an interview guide and with a reflective approach to the knowledge south and interpersonal relation of the interview situation.
  4. Transcribing; prepare the interview material for analysis, which commonly includes a transcription from oral speech to written text.
  5. Analyzing; decide, on the basis of the purpose and topic of the investigation, and on the nature of the interview material, which methods of analysis are appropriate for the interview.
  6. Verifying; ascertain the generalizability, reliability, and validity of the interview findings.
  7. Reporting; communicate the findings of the study and the methods applied in a form that lives up to scientific criteria, takes the ethical aspects of the investigation into consideration, and the results in a readable product.
            An interview is used as technique of collecting data when interviewer does preliminary research to find problem which is studied as well as to find respondent more deeply based on self-report. It can be conducted using structured interview, unstructured one, and face to face.
  1. Structured Interview
It is employed to collect data when interviewer has known exactly about information that he /she will gain. Interviewer usually provides respondents with written questions and their answers as well. Each respondent get the same questions and so do the answers. In so doing, interviewer may use tape recorder, pictures, brochures, and others tool to ease his or her interview.
  1. Unstructured or Opened Interview
It can be said as unstructured or opened interview because interviewer does not use structured interview guide systematically and completely in collecting data. Interviewer uses guide lines of the problems only in doing the interview. It is often done as a preliminary research and even to obtain detail data from respondent. In this technique, interviewer has not known what data that will be got, so he or she more listen to what respondent tells rather than asking question.
            In interviewing respondent, it is important to understand the interviewee’s situation and condition. They will influence result of the study. Interviewee whose condition is well may give good respond; otherwise he/she may give unpleased answer when in bad condition. Thus, if necessary, interviewer contacts the respondent before doing it. This intends to gain more complete and valid data.
            Furthermore, Kvale (1996, 101) explains to forms of interview. There are two types of interview, namely individual interview and focus group interview.
Ø  Individual interview; it interviews very according to content, such as seeking factual information, or opinions and attitudes, or narratives and life histories.
Ø  Focus group interview; it refers to the interaction among the interview subjects often leads to spontaneous and emotional statements about the topic being discussed.

B. Questionnaire
Questionnaire is a technique of colleting data by giving either a series of written questions or statements for respondents to answer. It is an efficient way to gather data when the researcher knows what measurable variable and what the subjects respond. It is suitable for a great numbers of respondents.
            Dealing with questionnaire, there are principles in making it such as arranging writing, measuring, and performing body. The followings are the principle of writing questionnaire.
1)      Content and goal of question; making question must be accurate and can be measurable.
2)      Language; language used must be understandable, simple, and suitable for respondent level.
3)      Question type and form; they can be opened and closed questions.
4)      Non double-barreled; make one point in one question, not two items in one question.
5)      No asking forgotten thing; we should not to ask things that took place a long time ago.
6)      No tendency question; don’t ask questions which tend to either good things only or bad ones.
7)      No too long question; make appropriate questions about 20 to 30 questions.
8)      Ordering; compose the questions from easy to difficult.
9)      Measurement; collected data must be measurable whether they are reliable and valid or not.
10)  Body performing; make the questionnaire as exciting as possible.
C. Observation
According to Alwasilah (2006, 211) observation in research is systematic and planned activity that is aimed at gaining the data which it’s validity and reliability is controlled. In a similar vein, Marshall (cited in Sugiyono, 2005, 64) stated that through observation, the researcher learns about behavior and the meaning attached to those behaviors.

Types of observation
Sugiyono (2006, 162) said that in the process of collecting data, observation can be divided into two terms such as participant observation and non-participant observation. Whereas observation consists of two terms from instrument side, namely structured and unstructured observation.
1)      Participant observation; in this observation, the researcher is involved in daily activities of participant that is observed to obtain original and pure data. While doing observation, the researcher also does the activity done by participant.
2)      Non-participant observation; in this study, the researcher does not immerse him/herself into participant. He/she observes subjects from far distance. The researcher then notes what is done by respondent. He/she uses a video tape to record what happens. Data obtained from this technique is not as deep and complete as the first one.
3)      Structured observation; it is observation that has been planned systematically, on what will be observed, the time and the place. This is conducted when the researcher has known variable exactly investigated.
4)      Unstructured observation; it opposites from structured one. This is done because the researcher does not know variable accurately observed. He or she does not employ constant instrument.

DATA ANALYSIS
In quantitative research, researcher will do analysis after data he/she wants to be collected. Data analysis activity involves; categorizing data based on variable and kinds of respondents, tabulating data based on variable from respondents, presenting data from each variable, encountering data to answer the research questions, and testing hypothesis. And analyze technique in this research uses statistic, which is descriptive statistic and inferential statistic. The later involves parametric statistic and non-parametric statistic.

Descriptive and Inferential Statistic
Descriptive statistic is statistic used to analyze data by describing collected data naturally, without manipulating them, and it does not mean to make generalization. Otherwise it is transferable, meaning that the findings of the study can be applied in other place as transferability. Method of selecting sample uses purposive sampling.  Inferential statistic is used in quantitative study.
            Inferential statistic/inductive statistic/probability statistic is used to analyze sample data and the result will be generalization. Sample will be selected randomly. Presenting data in inferential statistic would be tables, graphics, circle diagram, pictogram, modus, median, mean, percentile, deviation standard, and percentage.

Parametric and Non-parametric Statistic
Parametric statistic is to test parameter of population via statistic, or to examine population size via sample data, otherwise non-parametric one is used to test distribution. The use of them depends on assumption and kinds of analyzed data. The first parametric is to analyze interval data and ratio, and the second one mostly is use to analyze nominal data and ordinal.

Principle concept of hypothesis test
In the research, hypothesis means preliminary answer towards formulation of research problems. Whereas in statistic, it means as population tested the truth based on data from sample. Hypothesis consists of two kinds such as descriptive hypothesis and associative hypothesis. The hypothesis used here is the null hypothesis. The null hypothesis is used for testing. It is statement that no different exists between the parameter and statistic being compared. The null hypothesis is Ho and the other, alternative hypothesis is Ha.
            There are three types of hypothesis test, namely; two tail test, left side test, and right side test.
  1. Two Tail Test; it is used when null hypothesis (Ho) sounds “sama dengan” and alternative one (Ha) is “tidak sama dengan” (Ho=; Ha#)
  2. Left Side Test; it is used when null hypothesis sounds “lebih besar atau sama dengan” (>) and alternative one is “lebih kecil” (<).
  3. Right Side Test; it is used if null hypothesis sounds “lebih keil atau sama dengan” (<), and alternative one is “lebih besar” (>).
           

Reference
Alwasilah, A.C. 2006. Pokoknya Kualitatif: Dasar-dasar Merancang dan
                         Melakukan Penelitian Kualitatif. Bandung: Pustaka Jaya.
Kvale, S. 1996. InterViews: An Introduction to Qualitative Research Interviewing.
                         London: SAGE Publication.
Sugyono. 2005. Memahami Penelitian Kualitatif: Dilengkapi Conoh Proposal
                          dan Laporan Penelitian. Bandung: Alfabeta.
_______. 2006. Metode Penelitian Kuantitatif Kualitatif dan R&D. Bandung:

                          Alfabeta.

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