Research Methodology II- Practical

Paper Code: 
24DATG802
Credits: 
02
Contact Hours: 
30.00
Max. Marks: 
100.00
Objective: 

This course will enable the students to collect and analyze data analysis using software applications, interpretation and reporting of results.

Course

Learning outcome

(at course level)

Learning and teaching strategies

Assessment Strategies

Course Code

Course

Title

 

24DATG 802

 

 

Research Methodology II – Practical

(Practical)

CO229: Examine the basic concept of  common parametric and non-parametric tests.

CO230: : Organize and appraise the  results produced by statistical software

CO231: Examine and appraise different non parametric tests.

CO232: Appraise  simple regressions and multivariate analysis.

 

CO233: Organize and evaluate various techniques of advanced analysis for research work.

CO234: Contribute effectively in course-specific interaction

Approach in teaching: Interactive Lectures, Discussion, Tutorials, assignments

Learning activities for the students: Self learning assignments, Giving tasks, Reading Research article

Quiz, test, assignments, viva-voce

 

6.00
Unit I: 
Statistical Testing:

● Statistical Testing: Parametric vs. Non parametric.
● Parametric Tests- t-test: One Sample, Independent Sample, Paired t test.

6.00
Unit II: 
Analysis of variance:

● Assumptions of One Way ANOVA, Testing for differences in mean between the group, Measure of Association, Assumption of Two way ANOVA, Procedure for Testing Two Way ANOVA.

6.00
Unit III: 
Non Parametric Tests:

• Non Parametric Tests: Mann Whitney U test, Wilcoxon Signed ranks test, Kruskal Wallis Test, Friedman Test.
● Chi square Test: Test of Independence, 2x2 Cross tabulation, Layered cross tab, Goodness of fit.

6.00
Unit IV: 
Regression:

• Assumptions, Linear Regression, Multiple Regression

6.00
Unit V: 
Advanced Analysis:

● Factor Analysis, Principal Component Method, Confirmatory Factor Analysis.

Essential Readings: 

● Andy Field, Discovering Statistics Using IBM SPSS Statistics,Sage Publications
● Kiran Pandya, Smruti Bulsari, Sanjay Sinha, SPSS in Simple Steps, Dreamtech Press
● A. Rajathi & P. Chandran (2012), SPSS for You, MJP publishers.
● Lawrence M Mayers, Glenn C Gamst, A J Guarind, Performing Data Analysis Using SPSS, Wiley

References: 

Suggested Readings:

● S. Ajai Gaur (2009), Statistical methods for practice & research: A guide to Data Analysis using SPSS, Sage Publishers.
● Seyed Reza Hashemian Rahaghi, Farnaz Abed Ashtiani, Basic of Statistics & SPSS, create space independent publishing platform.
● Keith Mc Cormick, Jesus Salcedo, Jon Peck, Andrew Wheeler, SPSS Statistics for Data Analysis and Visualization, Wiley
● James B Cunningham (2011), Using SPSS: An interactive hands- on Approach, Peacock publisher, 3rd Edition.

e-Resources:
● https://web.s.ebscohost.com/ehost/search/basic?vid=0&sid=0c7f189a-083f-4...
● http://ww1.shodhganga.com/
● https://shodhgangotri.inflibnet.ac.in/
● https://www.scopus.com/home.uri
● http://www.e-book.com.au/freebooks.htm
● https://www.doaj.org/

Reference Journals:
● Business Perspectives and Research
● FIIB Business Review
● Harvard Business Review
● IUP Journal of Accounting Research
● Jindal Journal of Business Research
● Nirma University Journal of Business & Management Studies
● Oorja
● The Chartered Accountant
● The ICFAI reader
● The Indian Journal of Commerce
● Vikalpa: Journal for Decision Makers

Academic Year: 
2024-2025
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