Research Methodology II - Practical

Paper Code: 
24DATG812
Credits: 
2
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 Outcomes: 

Course

Learning outcome

(at course level)

Learning and teaching strategies

Assessment Strategies

Course Code

Course

Title

 

24DATG 812

 

 

Research Methodology II – Practical

(Practical)

CO289: Examine the basic concept of  common parametric and non-parametric tests.

CO290: Appraise  simple regressions and multivariate analysis.

CO291: Organize and appraise the  results produced by statistical software

CO292: Examine and Appraise different non parametric tests.

CO293: Organize and evaluate various techniques of advanced analysis for research work.

CO294: Contribute effectively in course-specific interaction

Approach in teaching: Interactive Lectures, Discussions, Tutorials Problem solving sessions, Presentations.

 

Learning activities for the students: Self-learning assignments, Case Study Analysis, Presentations, Group Discussions.

 

Continuous Assessment Test,

Semester end Examinations,

Quiz,

Solving Numerical problems, Assignments, Class Presentations, Individual & group projects.

 

6.00
Unit I: 
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:

● 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: