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Research Methodology I- Practical [1]

Paper Code: 
24DATG702
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 Outcomes: 

Course

Learning outcome

(at course level)

Learning and teaching strategies

Assessment Strategies

Course Code

Course

title

24DATG702

 

Research Methodology I- Practical

(Practical)

 

CO187: Demonstrate and analyze the data entry and recording of SPSS.

CO188: Examine and demonstrate various data managing function of SPSS

CO189: Demonstrate and evaluate the graphs and charts through SPSS

CO190: Determine the measures of central tendency, research problem for chi-square and interpret through chi-square analysis

CO191: Interpret the results of a research problem using correlation analysis

CO192: 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.

 

12.00
Unit I: 
Introduction to SPSS
  • Creating a data file, defining variables,
  • Data Entry, inserting variable, measurement scales,
  •  inserting cases, identifying duplicate cases, sorting cases,
  • merging & splitting files, select case.

 

12.00
Unit II: 
Managing Data
  • Missing data, compute variable, recode variable,
  • Rank cases, Weighted Cases.
  • Frequencies, Descriptive, Cross Tabs, Exploratory, Custom Tables.

 

12.00
Unit III: 
Visual Statistics using SPSS
  • Chart Builder, Histograms, Box Plots, Bar Charts,
  • Cluster Bar, Stacked Bar, Error bar, Line charts,
  • Pie charts, Editing graphs and Axes

 

12.00
Unit IV: 
Descriptive Statistics using SPSS
  • Measures of central tendency, variability, deviation from normality,
  • confidence level, Confidence Intervals,
  • Power of the test, Normal Curve, Normality Test,
  •  Reliability Analysis.

 

12.00
Unit V: 
Bi variate Correlation using SPSS
  • Bi variate  Correlation, Partial Correlations  and  the  correlation matrix

 

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-Content:

 

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 [8]

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