Research Methodology II- Practical

Paper Code: 
25DATG802
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

 

 

 

 

 

 

 

 

 

 

    25DATG802

 

 

 

 

 

 

 

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,

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 and 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... 1018e9b1d9a8%40redis
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: