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Statistical methods in social scienc...

Chattopadhyay, Asis Kumar.

Statistical methods in social science research

Record Type:	Electronic resources : Monograph/item
Title/Author:	Statistical methods in social science researchby S. P. Mukherjee, Bikas K. Sinha, Asis Kumar Chattopadhyay.
Author:	Mukherjee, S. P.
other author:	Sinha, Bikas K.
Published:	Singapore :Springer Singapore :2018.
Description:	xi, 152 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Social sciencesStatistical methods.
Online resource:	https://doi.org/10.1007/978-981-13-2146-7
ISBN:	9789811321467$q(electronic bk.)

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$q(electronic bk.)

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

182009
Social sciences
--Statistical methods.

LC Class. No.: HA29 / .M854 2018

Dewey Class. No.: 300.15195

Statistical methods in social science research
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245 1 0 $a Statistical methods in social science research $h [electronic resource] / $c by S. P. Mukherjee, Bikas K. Sinha, Asis Kumar Chattopadhyay.
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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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650 2 4 $a Statistics and Computing/Statistics Programs. $3 275710
700 1 $a Sinha, Bikas K. $3 823415
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950 $a Mathematics and Statistics (Springer-11649)