Data Analysis Plan for Quantitative Analysis:

There are five steps used for analysis the quantitative data. Those are described in the below steps

Data must be collected from one of the following manners:

Interview

• Face to face interview
• Telephone interview
• Computer Assisted Personal Interview

Questionnaire

• Paper-pencil questionnaire
• Web based questionnaire

Research questions or hypothesis created

What is our objective of the study? Based on the objective, we create research questions and statistical hypotheses.

Statistical Software’s used for analysis

You may use the statistical software like SPSS, SAS, STATA, SYSTAT etc..

Statistical Tools

• Frequency
• Factor Analysis
• Reliability Analysis
• Descriptive Statistics
• Hypothesis Testing

Parametric Tests

• Independent sample t test
• Paired sample t test
• ANOVA
• Pearson Correlation Coefficient
• Regression Analysis

Non-parametric Tests

• Mann-whitney U test
• Wilcoxon-signed ranked test
• Kruskal wallis test
• Spearman correlation

Advanced tools

• SEM Analysis
• PLS

Output and Interpretations

Based on the statistical result, we give the proper interpretations and conclusions