RESEARCH METHODOLOGY II - PRACTICAL

Paper Code: 
DATG 812
Credits: 
2
Contact Hours: 
30.00
Max. Marks: 
100.00
Objective: 

               Course Outcomes

Learning and teaching strategies

Assessment Strategies

  
 

On completion of this course, the students will be able to:

CO 241: Examine the basic concept of common parametric and non-parametric tests.

CO 242: Appraise simple regressions and multivariate analysis.

CO 243: Organize and appraise the results produced by statistical software

CO 244: Examine and Appraise different non parametric tests.

CO 245: Organize and evaluate various techniques of advanced analysis for research work.

Interactive Lectures, Group Discussion, Tutorials, Reading assignments, Workshops and question preparation

 

Quiz, test, assignments, viva-voce

  

 

6.00
Unit I: 
UNIT 1

Statistical Testing: Parametric vs. Non parametric.

Parametric Tests- t-test: One Sample, Independent Sample, Paired t test.

6.00
Unit II: 
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: 
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: 
UNIT IV

Regression

Assumptions,Linear Regression, Multiple Regression

6.00
Unit V: 
UNIT V

Advanced Analysis                                                                                         

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

 

Essential Readings: 

SUGGESTED TEXT BOOKS:

 

  • 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

e-RESOURCES:

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

 

 

References: 

SUGGESTED REFERENCE BOOKS:

  • 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.

 

Academic Year: 
2023-2024
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