Springer, 2018. — 158 p. — ISBN: 9811321450.
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.
Randomized Response Techniques
Content Analysis
Scaling Techniques
Data Integration Techniques
Statistical Assessment of Agreement
Meta-Analysis
Cluster and Discriminant Analysis
Principal Component Analysis
Factor Analysis
Multidimensional Scaling
Social and Occupational Mobility
Social Network Analysis