Data Analysis Plan for Quantitative Analysis

Data Analysis Plan for Quantitative Analysis:

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Data Analysis Plan for Quantitative Analysis: 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

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Telephone interview

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Computer Assisted Personal Interview Questionnaire

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Paper-pencil questionnaire

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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

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Factor Analysis



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

Descriptive Statistics

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Hypothesis Testing 

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Parametric Tests 

Independent sample t test

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Paired sample t test

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ANOVA

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Pearson Correlation Coefficient

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Regression Analysis

Non-parametric Tests 

Mann-whitney U test



Wilcoxon-signed ranked test

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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

© 2018-2019 All Rights Reserved, No part of this document should be modified/used without prior consent INDIA: Nungambakkam, Chennai–600034 Email: info@statswork.com Website: http://www.statswork.com/