Business Research: INTRODUCTION TO SPSS

Paper Code: 
24BSG125
Credits: 
6
Contact Hours: 
90.00
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

24ATG/24BSG/24FSG125

Business Research: Introduction to SPSS

(Practical)

CO25: Demonstrate and analyze the data entry and recording of SPSS.

CO26: Examine and demonstrate various data managing function of SPSS

CO27: Demonstrate and evaluate the graphs and charts through SPSS

CO28: Determine the measures of central tendency.  Determine research problem for chi-square and interpret through chi-square analysis

CO29: Hypothesize a research problem and interpret for correlation analysis

CO30: 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, Class Presentations (Individual & Group)

Continuous Assessment Test, Semester End Examinations, Quiz, Solving Numerical Problems, Assignments,

Individual & Group Projects

 

18.00
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.

 

 

18.00
Unit II: 
Managing Data
  • Missing data, compute variable, recode variable, rank cases, Weighted Cases.
  • Frequencies, Descriptive, Cross Tabs, Exploratory, Custom Tables.

 

18.00
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

18.00
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.

 

18.00
Unit V: 
Bi variate Correlation using SPSS
  • Bi variate Correlation, Partial Correlations and the correlation matrix

 

Essential Readings: 

1.    Andy Field, Discovering Statistics Using IBM SPSS Statistics,Sage Publications

2.    Kiran Pandya, Smruti Bulsari, Sanjay Sinha, SPSS in Simple Steps, Dreamtech Press

3.    A. Rajathi & P. Chandran (2012), SPSS for You, MJP publishers.

4. Lawrence M Mayers, Glenn C Gamst, A J Guarind, Performing Data Analysis Using SPSS, Wiley

References: 
  1. S. Ajai Gaur (2009), Statistical methods for practice & research: A guide to Data Analysis using SPSS, Sage Publishers.
  2. Seyed Reza Hashemian Rahaghi, Farnaz Abed Ashtiani, Basic of Statistics & SPSS, create space independent publishing platform.
  3. Keith Mc Cormick, Jesus Salcedo, Jon Peck, Andrew Wheeler, SPSS Statistics for Data Analysis and Visualization, Wiley
  4. James B Cunningham (2011), Using SPSS: An interactive hands- on Approach, Peacock publisher, 3rd Edition.

e-Resources:

  1.  https://web.s.ebscohost.com/ehost/search/basic?vid=0&sid=0c7f189a-083f-49b2-8d14-1018e9b1d9a8%40redis
  2. 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/

 

Academic Year: 
2024-2025
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