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.
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.
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