Statistical Methods in Social Science Research

• Κύριοι συγγραφείς: Mukherjee, S P. (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Sinha, Bikas K. (http://id.loc.gov/vocabulary/relators/aut), Chattopadhyay, Asis Kumar (http://id.loc.gov/vocabulary/relators/aut)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2018.
• Έκδοση: 1st ed. 2018.
• Θέματα: Statistics .; Statistics for Social Sciences, Humanities, Law.; Statistics for Business, Management, Economics, Finance, Insurance.; Statistics and Computing/Statistics Programs.

 This book presents various recently developed and traditional statistical techniques, which are increasingly being applied in social science research. The social sciences cover diverse phenomena arising in society, the economy and the environment, some of which are too complex to allow concrete statements; some cannot be defined by direct observations or measurements; some are culture- (or region-) specific, while others are generic and common. Statistics, being a scientific method - as distinct from a 'science' related to any one type of phenomena - is used to make inductive inferences regarding various phenomena. The book addresses both qualitative and quantitative research (a combination of which is essential in social science research) and offers valuable supplementary reading at an advanced level for researchers. 

 1. Introduction -- 2. Randomized Response Technique -- 3. Content Analysis -- 4.Scaling Techniques -- 5.Data Integration -- 6. Dis-agreement vs. Agreement -- 7. Meta Analysis -- 8. Cluster and Discriminant Analysis -- 9. Principal Component Analysis -- 10. Factor Analysis -- Multidimensional Scaling -- 11. Social and Occupational Mobility -- 12. Social Network Analysis.