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.
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SUMMARY OR ABSTRACT
Text of Note
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.
OTHER EDITION IN ANOTHER MEDIUM
Title
Statistical methods in social science research.
International Standard Book Number
9789811321450
International Standard Book Number
9789811321450
International Standard Book Number
9789811321474
International Standard Book Number
9789811347399
Bibliographic Record Identifier
(DLC) 2018950966
TOPICAL NAME USED AS SUBJECT
Entry Element
Statistics.
Entry Element
Statistics for Social Sciences, Humanities, Law.
Entry Element
Statistics and Computing/Statistics Programs.
Entry Element
Statistics for Business, Management, Economics, Finance, Insurance.