Data Analysis For Social Science Teachers

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.

COURSE LAYOUT

Week 1 Introduction to Data AnalysisWhat is data? Types of MeasurementReliability and validity
Week 2 Measures of central tendency and dispersionDifferent types of distributionsSelection of appropriate data analysis technique
Week 3 Inferential statistics IInferential statistics II
Week 4 Introduction to SPSST-test and one-way ANOVA and ANCOVA using SPSS (Theory and Practical)
Week 5 Correlation and simple Regression using SPSSIntroduction to multivariate data analysis
Week 6 Multiple regression analysisMultiple regression analysis using SPSS
Week 7 Logistic regressionLogistic regression using SPSS
Week 8 Multivariate analysis of varianceMultivariate analysis of variance using SPSSConjoint analysisConjoint analysis using EXCEL
Week 9 Exploratory factor analysisExploratory factor analysis using SPSSCluster analysisCluster analysis using SPSS
Week 10 Multi-Dimensional ScalingMulti-Dimensional Scaling using SPSSForecasting Methods
Week 11 Structural Equation modelling (SEM)Confirmatory factor analysis (CFA)
Week 12 CFA using AMOSSEM using AMOS
Week 13 Common method bias issue in survey researchCommon Method bias using unmeasured method factor using AMOS
Week 14 Mediation analysisMediation analysis using regression and PROCESS Macro
Week 15 Moderation analysisModeration analysis using regression and PROCESS Macro
Week 16 Moderated mediated analysisModerated Mediation analysis using PROCESS MacroReporting guidelines