19 SEPTEMBER 2014 – DATA ANALYSIS

After data entry has been completed, the researcher needs to carry out data analysis in
order to achieve his research objectives, research questions, research hypotheses.
Steps in Data Analysis process:

Firstly, we have to perform data mining for all measuring items in the study. Secondly, we
have to perform the descriptive analysis for important demographic variables to verify that
respondents are represented across their demographic characteristics. Thirdly, we have to
run the required analysis to address his research questions. Finally, we have to perform the
statistical analysis in order to test the stated hypotheses concerning the study.

Step 1: Data Mining Procedure

This step is necessary in order to screen the data from outliers. This is an important
procedure to ensure that the data collected is normally distributed.

Step 2: Descriptive Analysis for Demographic Variable

In the descriptive analysis, the researcher wants to assess the distribution of data across
some demographic characteristics of respondents.

Step 3: Running Data Reduction Procedure: The Exploratory Factor Analysis

In the factor analysis procedure, items which poses similar characteristic will be group
together under one component. When we use too many items to measure a variable, we
have to reduce them into a manageable number before further analysis can be carried out.

Step 4: Parametric Statistical Analysis

i. Testing the hypothesis for mean differences between two groups: The test that will
used is the independent two-sample t-test
ii. Testing hypothesis for mean differences for more than two groups: The test that will
used is the one-way analysis of variance(ANOVA)
iii. Testing the inter-relationship among variables in the study: The test that will used is
the structural equation modelling(SEM)