Data Analysis For Social Science Teachers

By Prof B. Raja Shekhar | HRDC, University of Hyderabad, Hyderabad

Learners enrolled: 2449

Statistical analysis is playing a major role in social science research. In the present era the top tier journal editors are expecting the researchers to use scientific approach to analyse the data collected through primary or secondary sources. This course will help the social science researchers and teachers to understand the process of analysing the data and reporting the results in their research projects using different software's.

Learning Objectives:

1. To classify the construct measurement process in social science research.

2. To demonstrate the Univariate, Bivariate and Multivariate data analysis techniques.

3. To perform the data analysis using various software packages (MS Excel, IBM SPSS and AMOS).

4. To learn the process of reporting the results.

Intended Audience: Research Scholars and faculty members from social sciences.

Prerequisite: Nil. However prior knowledge on basic statistics and research methodology is an added advantage.

Resource Persons:

1. Prof. B. Raja Shekhar, University of Hyderabad, Hyderabad.

2. Prof. G.V.R.K Acharyulu, University of Hyderabad, Hyderabad.

3. Prof. Jayanth Jacob, Anna University, Chennai.

4. Dr. Irala Lokananda Reddy, University of Hyderabad, Hyderabad.

5. Dr. D.V.Srinivas Kumar, University of Hyderabad, Hyderabad.

6. Dr. Pramod Kumar Mishra, University of Hyderabad, Hyderabad.

7. Dr. R. Mahesh, Institute of Management Technology, Hyderabad.

8. Dr. P. Murugan, University of Hyderabad, Hyderabad.

Summary

Course Status :	Completed
Course Type :	Core
Language for course content :	English
Duration :	16 weeks
Category :	Annual Refresher Programme in Teaching (ARPIT)
Credit Points :	4
Level :	Continuing Education
Start Date :	01 Dec 2020
End Date :	31 Mar 2021
Enrollment Ends :	31 Dec 2020
Exam Date :	10 Apr 2021 IST

Note: This exam date is subject to change based on seat availability. You can check final exam date on your hall ticket.

Page Visits

Course layout

Week 1

Introduction to Data Analysis

What is data? Types of Measurement

Reliability and validity

Week 2

Measures of central tendency and dispersion

Different types of distributions

Selection of appropriate data analysis technique

Week 3

Inferential statistics I

Inferential statistics II

Week 4

Introduction to SPSS

T-test and one-way ANOVA and ANCOVA using SPSS (Theory and Practical)

Week 5

Correlation and simple Regression using SPSS

Introduction to multivariate data analysis

Week 6

Multiple regression analysis

Multiple regression analysis using SPSS

Week 7

Logistic regression

Logistic regression using SPSS

Week 8

Multivariate analysis of variance

Multivariate analysis of variance using SPSS

Conjoint analysis

Conjoint analysis using EXCEL

Week 9

Exploratory factor analysis

Exploratory factor analysis using SPSS

Cluster analysis

Cluster analysis using SPSS

Week 10

Multi-Dimensional Scaling

Multi-Dimensional Scaling using SPSS

Forecasting Methods

Week 11

Structural Equation modelling (SEM)

Confirmatory factor analysis (CFA)

Week 12

CFA using AMOS

SEM using AMOS

Week 13

Common method bias issue in survey research

Common Method bias using unmeasured method factor using AMOS

Week 14

Mediation analysis

Mediation analysis using regression and PROCESS Macro

Week 15

Moderation analysis

Moderation analysis using regression and PROCESS Macro

Week 16

Moderated mediated analysis

Moderated Mediation analysis using PROCESS Macro

Reporting guidelines

Books and references

1. Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2013). Multivariate data analysis, 7/e. Pearson India.

2. Hayes, A. F. (2017). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. 2nd edition, Guilford Press.

3. Malhotra, N. K., & Birks, D. F. (2012). Marketing research: An applied approach. Pearson Education.6th edition.

4. Zikmund, W. G., Babin, B. J., Carr, J. C., & Griffin, M. (2013). Business research methods. Cengage Learning.

5. Levin, R. I. (2011). Statistics for management. Pearson Education India.

Instructor bio

Prof B. Raja Shekhar

HRDC, University of Hyderabad, Hyderabad

Prof. B. Raja Shekhar has a commendable track record in the field of higher education as an academician and academic administrator. He has completed two doctorates in Management and Psychology. Prof. Shekhar participated in a three and half month Faculty Development Programme at Indian Institute of Management, Ahmadabad. He has guided 15 Ph.D. scholars successfully and currently guiding 8 more research scholars. Prof. Shekhar also coordinating a MOOCs in Research Methodology for Social Sciences through SWAYAM of MHRD. He has been appointed as one of the members of the expert committee constituted by UGC to draft Learning Outcomes Based Curriculum Framework for Management. He has published about 76 research papers in reputed International, National Journals and conference proceedings. Prof. Shekhar is a specialist in the area of scale development in Service Quality and has been doing extensive research in various issues of service quality and developed scales in measuring higher education service quality (HiEduQual) and railway service quality (RailQual). Prof. Shekhar has been delivering lectures in several workshops/FDPs on research methodology across the country. His primary areas of interests include Service Quality, Quantitative Techniques, Operations Management, Research Methodology and Industrial & Organizational Psychology. To know more about his work visit: www.profbrajashekhar.in.