# Data Analysis and Results Using Cronbach’s Alpha

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CHAPTER 4 DATA ANALYSIS AND RESULTS 4.1 Introduction Chapter 4 will discuss the findings of the research that obtained from the questionnaire. SPSS Version 22 will be used to analyse the data and summarise all of the results that collected from respondents. The function of data analysis is to facilitate in testing hypotheses.

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There are 4 statistical tools will be carried out to analyse the results that are Cronbach’s Alpha, Descriptive statistic, Person Correlation Coefficient and Simple Linear Regression. Firstly, reliability statistics will be analysed by using Cronbach’s Alpha. Meanwhile, demographic information of respondents will be described by descriptive statistic. In addition, the relationship between independent variable and dependent variable will be analysed by using Pearson Correlation. Simple Linear Regression will be used to investigate the relationship between independent variable and dependent variable. 4.2 Cronbach’s Alpha Table 1: Reliability Statistics in Section B, C, D and E for Pilot Test Section B Web Security

 Cronbach’s Alpha N of Items .819 5

Section C Perceived Risk

 Cronbach’s Alpha N of Items .826 5

Section D Perceived Usefulness

 Cronbach’s Alpha N of Items .870 5

Section E Online Purchase Intention of Cinema Movie Ticket

 Cronbach’s Alpha N of Items .853 5

Table 1 showed the reliability statistic of all variables in this research. There are 25 respondents from SEGi College Subang Jaya will be used in the Cronbach’s Alpha in order to get the results of pilot test. As mentioned in chapter 3, the acceptable reliability value for Cronbach’s Alpha is 0.7 and above. Meanwhile, there are total 5 items in each of the variable. The reliability value of Section B is 0.819, Section C is 0.826, Section D is 0.870 and Section E is 0.853. However, the reliability value of all variables is above 0.7. Thus, the relationship between independent variable and dependent variable is reliable for further research. 4.2 Demographic Information of Respondents Table 2: Gender

 Frequency Percent Valid Percent Cumulative Percent Valid Male 58 58.0 58.0 58.0 Female 42 42.0 42.0 100.0 Total 100 100.0 100.0

According to Table 2,