Pilot Test Questionnaire

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As for this research, the research instrument used is a self-administered questionnaire, which means it requires respondent to bear the responsibility to read and answer the questions by themselves. Questionnaires are adapted and modified from several journals in order to ensure higher validity. The purpose of doing so is because questionnaire developed by undergraduates have low validity if were to use in a research. The questionnaires will be given directly to the passengers in airport and it will take approximately around 10 to 15 minutes for a respondent to complete it.

3.4.1 Questionnaire Survey

The predominant instrument used in this research is questionnaire survey. Zikmund (2003) stated that the benefits of using this survey technique
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Section B collects data of the respondents’ general perception of Nestle’s products.
Section C collects data of the four variables – Brand Loyalty, Customer Satisfaction, Brand Reputation, and Product Quality. Each variable consist of approximately 4 to 5 questions.

3.4.3 Pilot Test

After designing the questionnaire, reliability analysis will be done to ensure the reliability of the measurements for the research. In this research, pilot test will be adopted to run the reliability analysis. Pilot test is a survey which will be done on a small group of respondents to ensure that the questions asked are reliable, and 20 questionnaires will be distributed to test the reliability. Respondents will be asked to comment and provide relevant suggestion on the changes to the questionnaire.

3.5 Construct Measurement

There are four types of measurement, namely nominal scale, ordinal scale, interval scale, and ration scale. However, only three measurements methods will be used in this research, they are nominal scale, ordinal scale and interval
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G. Zikmund, 2010). This scale helps researchers to determine if an object has more or less characteristics than other objects. Examples of ordinal scale used in this research are age and education level.
3.5.3 Interval Scale (Likert Scale)
Hair (2007) stated that an interval scale uses number to rate objects or events so that the distances between the numbers are equivalent (Junior Hair, 2007). One of the categories under interval scale is Likert Scale which is developed by Rensis Likert. This kind of measurement allows respondents to designate their attitudes by indicating how strongly they agree or disagree with a statement or question that ranges from extremely positive to extremely negative attitudes towards an attitudinal object.
3.6 Data Processing

Data processing is to organize and manipulate data which is normally huge amounts of numerical data and convert data into information. In data processing, it consists of few steps – data checking, data editing, data coding, and data
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