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Qualitative data analysis using SPSS for beginners

Qualitative data analysis using SPSS for beginners

Course Description

This course in Quantitative Data Analysis using SPSS Software for those students who are pursuing their research degree in Management sciences, Social sciences, etc. and industry professionals. The main focus of the course will be on to solve their research question using SPSS software. The course is of 12 hours duration and course will be taught on computer using SPSS software.

Target Audience

Faculty members of academic institutions and Research scholars

Importance of the Course

After studying this course, you should be able to:

  • Understand how to start SPSS
  • Define a variety of statistical variables
  • Enter basic data into SPSS
  • Carry out a statistical analysis that can test hypotheses.

Course Facilitator

Dr Yavana Rani

Dr.S. Yavana Rani, Associate Professor of MBA in the Decision Science area. Since receiving her MBA and Ph.D. in Management, Prof Yavana Rani has devoted her career to Research and Teaching. She also has a Master’s degree in Structural Engineering. She has 18 years of teaching experience. Dr. Rani has received Young Scientist Fellowship Award from Tamilnadu State Council for Science and Technology(TNSCST). She has completed her fellowship from Indian Institute of Science (IISc), Bangalore. She is the life time member in Indian Society for Technical Education (ISTE).

Dr. Yavana Rani has done two research projects sponsored by Indian Council for Social Science and Research (ICSSR). Currently she is working on a project “UNNAT BHARAT ABHIYAN”, A flag ship Programme by Govt of India. She has published more than 15 research articles in Scopus indexed and Springer journals. She has presented papers in National and International conferences in India and abroad. She is the editor for many reputed journals. She has delivered key note address in countries like Egypt, Malaysia.

Prof. Rani holds many administrative roles such as Dean Student Affairs, Director Coordination for various activities. She has been project Director for Entrepreneurship Cell (EDC) sponsored by Department of Science and Technology (DST).  She also coordinated many programmes. Professor has got funding for conducting conferences, International visit from various funding agencies like DST and ICSSR.

Course Content/Syllabus/Topics

Getting started with SPSS files
Types of scales
Data entry: manually and from excel
Editing and organising datasets
Replacing missing values

Normality test
Skewness, Kurtosis,
Shapiro Wilk Test

Reliability and Validity
Cronbach’s alpha,
Exploratory Factor analysis
KMO and Bartlett’s test validity

Descriptive statistics
Mean, Standard deviation

Graphical displays
Various charts and graphs

Parametric significance tests
Test of difference of means
1. 3 types of t test
One sample t test
Independent sample t test
Paired t test
2. ANOVA- one way, two way

Nonparametric significance tests
Test of Relationship
1. Correlation,
2. Regression

Test of Association
1. Chi Square test

Other non-parametric test
1. Man Whitney U test
2. Wilcoxn test
3. Kruskal Wallis test

Training Methodology

SPSS software (trial version- link will be provided) must be installed in the laptops by participants. All concepts will be explained with the help of Data Sets with the application of SPSS and decoding of interpretations. Exercises are also included for practicing the discussed concepts and applications. Participants are encouraged to bring their live data and queries for discussion and solutions.

Course Costing


Course Dates

09-10 May 2024

15-16 August 2024

03-04 October 2024

Course Registration

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