Structural Equation Model: A Summary
Deductive approach and survey strategy were used for the study. Survey strategy allows the researcher to collect quantitative data at a large scale (Saunders et al. 2009). This study used quantitative approach and numerical data was collected by administering a structured questionnaire. It is easy to inference by applying statistical techniques with quantitative data than the qualitative (Shajari and Ismail 2013). Structural Equation Modeling was applied for the analysis.
Using Structured Equation Modeling
The use of Structural Equation Modeling (SEM) in research has been increased in many study areas such as psychology, sociology, education, political science, education and economics etc. (Khine 2013; Lei and Wu 2007; Anderson and Gerbing
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The survey items were selected from previous studies and some were modified accordingly to the research aim and the country context. The questionnaire consists with four sections. First section covers the basic demographic characteristics such as age, gender etc. the second section focus to get some idea about the experience regarding internet and government websites. The survey items related to variables were covered in both sections three and four. The five point likert scale ranging from 1 “strongly disagree” to 5 “strongly agree” are used to record the level of agreement for non-demographic survey …show more content…
Homogeneity of the measurement items is indicated by the internal consistency of measures. Accordingly, Cronbach’s alpha values were calculated for each constructs and alpha values shown in Table 01 are acceptable with the cut-off value 0.7 (Hair et al. 2006). In addition to the calculation of alpha values, factor analysis was applied to assess the construct validity. Kaiser-Meyer-Olkin (KMO), Average Variance Extracted (AVE) and Construct Reliability (CR) values are also considered to determine the construct validity. KMO value rages from 0 to 1, which higher the KMO value, it is said that more correlating factors represent the particular variable. Thump-rule of the KMO is > 0.5. The Table 01 shows the calculated KMO values for the constructs of the study and all values exceed the cut-off 0.5. The cut-off values for AVE and CR are 0.5 and 0.7 respectively. Higher value suggests better validity. AVE and CR values are shown in Table 02. Values suggest that sufficient construct validity is there to proceed further
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