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Pilot Testing

A pilot testing was commonly conducted in order to check out the relevance of the variables and test the efficiency of the questionnaire before it distributed to the respondents. The purposes to do the pilot test for the questionnaire are to check the validity and reliability of the questionnaire; check out the relevance of the reliability of the questionnaires and refine the questionnaire and develop a final draft to be used in this study (Stephanie Lim, 2009).

Data Analysis Methods

After the data have been collected from the respondents, the data will be further categorised and analyze by using some tests. This is tointerpret and analyze the result of the study. The data collected will bekey into the Statistical Package for the Social Sciences, which also known as SPSS system. Then the data will be further analyzed by using the multiple regressions, reliability test and also the descriptive analysis. Graphs, charts and scatter diagram will be widely used in order to carry out a clearer picture of the results. The following is the information of each type of tests used.

A. Reliability Test:

This is the indication of the stability and consistency with which the instrument measures the concept and helps to assess the 'goodness' of a measure. Cronbach's alpha will be use as an estimator of the internal consistency reliability of a psychometric test score for a sample of examinees. This test will be applied on the independent variables with the dependent variable in this study.

B. Descriptive Analysis:

As outcomes of the analysis we will get mean, frequency, standard deviation and percentage of frequency. The graph, chart, diagram and chart will be widely exercised in disclosing the frequency distribution for information interpretation. Table will be use to interpret the other information. This method of analysis will be used in the early stage of the analysis process because it will form the foundation for the subsequent analysis.

C. Multiple Regression:

It is generally used to explain the relationship between multiple independent or multiple predictor variables and a dependent or criterion variable. In multiple regressions, a dependent variable is modelled as a function of several independent variables with corresponding multiple regression, coefficients, along with the constant term. In this study, the multiple regression method will be applied in interpreting the data collected from the questionnaire which related to the factors influence the involving of undergraduates in entrepreneurship and e-entrepreneurship. By this test, the appropriate relationship among these factors can be established.

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