This course will enable the students to collect and analyze data analysis using software applications, interpretation and reporting of results.
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Course |
Learning outcome (at course level) |
Learning and teaching strategies |
Assessment Strategies |
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Course Code |
Course Title |
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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. |
● Parametric vs. Non parametric.
● Parametric Tests- t-test: One Sample,
● Independent Sample, Paired t test.
● 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.
● 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
● Assumptions, Linear Regression,
● Multiple Regression
● Factor Analysis,
● Principal Component Method,
● Confirmatory Factor Analysis
● 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
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... [2] 1018e9b1d9a8%40redis
● http://ww1.shodhganga.com/ [3]
● https://shodhgangotri.inflibnet.ac.in/ [4]
● https://www.scopus.com/home.uri [5]
● http://www.e-book.com.au/freebooks.htm [6]
● https://www.doaj.org/ [7]
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
Links:
[1] https://accountingtaxation.iisuniv.ac.in/courses/subjects/research-methodology-ii-practical-3
[2] https://web.s.ebscohost.com/ehost/search/basic?vid=0&sid=0c7f189a-083f-49b2-8d14-
[3] http://ww1.shodhganga.com/
[4] https://shodhgangotri.inflibnet.ac.in/
[5] https://www.scopus.com/home.uri
[6] http://www.e-book.com.au/freebooks.htm
[7] https://www.doaj.org/
[8] https://accountingtaxation.iisuniv.ac.in/academic-year/2025-2026