Descriptive Statistic Is A Statistic Analysis Essay

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Descriptive statistic is a statistic analysis to describe the characteristic of the respondents (Pallant, 2013). This study employs descriptive statistical analysis which gives value of mean, median and standard deviation of the respondents based on several indicators, such as sex/gender, educational level, position at work and income of the respondents. By using these indicators, the researcher describes the profile of the respondents. Hence, it can give some valuable information about the respondents. Furthermore, the descriptive statistic is not enough to answer the research questions and it should be followed by other analysis tools such as exploratory factor analysis (EFA), confirmatory factor analysis (CFA) and structural equation modelling (SEM).
4.6.5 Exploratory Factor Analysis (EFA)

According to Hair et al. (2010), there are two types of factor analysis, including exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). The CFA is a technique for testing the hypothesis about the degree to which the data meet the hypothesised factor. On the other hand, the Exploratory Factor Analysis (EFA) is a data reduction technique (Pallant, 2013). In other words, EFA is a multivariate statistical method to summarisation and data reduction (Hair et al., 2010). The EFA is different with other techniques such as regression and analysis of variance. This technique is an interdependence technique which is not categorised as dependent and independent variables. This study employs SPSS 22 as the software programme to run the exploratory factor analysis. There are some procedures in conducting EFA in this study (Pallant, 2013).
First, this study assesses the suitability of the data for factor analysis. In this step, the n...

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...e hypotheses testing and see the regression weight of the construct’s relationships. However, when the structural model is not fit, there are some ways to improve the model such as using the modification indices and standardised residuals of variance which should be less than 2.58 (Byrne, 2010).

4.6.11 Test of Indirect Relationship

Beside the direct relationship between each variable, this study also examines indirect relationship of some variables. Consequently, to test those relationships this study needs more analysis. According to Baron and Kenny (1986), there are two indirect relationships between variables, including moderating effect and mediating effect. Especially to test the mediating effect of a variable, they argue it can be tested by using the Sobel’s test. Hence, this study uses the Sobel’s test to examine the indirect relationship between variables.

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