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Statistical methods in social science research

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Statistical methods in social science research/ by S. P. Mukherjee, Bikas K. Sinha, Asis Kumar Chattopadhyay.
作者:	Mukherjee, S. P.
其他作者:	Sinha, Bikas K.
出版者:	Singapore :Springer Singapore : : 2018.,
面頁冊數:	xi, 152 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
標題:	Social sciences - Statistical methods. -
電子資源:	https://doi.org/10.1007/978-981-13-2146-7
ISBN:	9789811321467

Statistical methods in social science research
Mukherjee, S. P.

Statistical methods in social science research[electronic resource] /by S. P. Mukherjee, Bikas K. Sinha, Asis Kumar Chattopadhyay. - Singapore :Springer Singapore :2018. - xi, 152 p. :ill., digital ;24 cm.

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.

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.

ISBN: 9789811321467

Standard No.: 10.1007/978-981-13-2146-7doiSubjects--Topical Terms:

558812
Social sciences
--Statistical methods.

LC Class. No.: HA29 / .M854 2018

Dewey Class. No.: 300.15195

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505 0 $a 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.
520 $a 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.
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