Data Analysis Plan for Quantitative Research Analysis | Data analysis plan | Quantitative Data Analysis | Quantitative Data Analysis Research
Data Analysis Plan for Quantitative Analysis can be used for five steps. Based on the objective, we create research questions and statistical hypotheses.
There are five steps used for analysis the quantitative data. Those are described in the below steps
Step (i)
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
Step (ii)
Research questions or hypothesis created
What is our objective of the study? Based on the objective, we create research questions and statistical hypotheses.
Step (iii)
Statistical Software’s used for analysis
You may use the statistical software like SPSS, SAS, STATA, SYSTAT etc..
Step (iv)
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
Step (v)
Output and Interpretations
Based on the statistical result, we give the proper interpretations and conclusions
Services:
Data Analysis Plan for Quantitative Research
Quantitative Data Analysis Research
Quantitative Data Analysis
Quantitative Data collection
Statistical Quantitative Data Collection
Quantitative Data Collection Methods
Sampling Quantitative Research
Sampling Quantitative Analysis
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