國立虎尾科技大學 |

Statistical methods in social science research

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Statistical methods in social science research/ by 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 sciences - Statistical methods. -
Online resource:	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

Statistical methods in social science research
LDR:02211nam a2200325 a 4500 001 929183
003 DE-He213
005 20190314150006.0
006 m d
007 cr nn 008maaau
008 190626s2018 si s 0 eng d
020 $a 9789811321467 $q (electronic bk.)
020 $a 9789811321450 $q (paper)
024 7 $a 10.1007/978-981-13-2146-7 $2 doi
035 $a 978-981-13-2146-7
040 $a GP $c GP
041 0 $a eng
050 4 $a HA29 $b .M854 2018
072 7 $a JHBC $2 bicssc
072 7 $a SOC027000 $2 bisacsh
072 7 $a JHBC $2 thema
082 0 4 $a 300.15195 $2 23
090 $a HA29 $b .M953 2018
100 1 $a Mukherjee, S. P. $3 1209577
245 1 0 $a Statistical methods in social science research $h [electronic resource] / $c by S. P. Mukherjee, Bikas K. Sinha, Asis Kumar Chattopadhyay.
260 $a Singapore : $c 2018. $b Springer Singapore : $b Imprint: Springer,
300 $a xi, 152 p. : $b ill., digital ; $c 24 cm.
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.
650 0 $a Social sciences $x Statistical methods. $3 558812
650 1 4 $a Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law. $3 670129
650 2 4 $a Statistics for Business/Economics/Mathematical Finance/Insurance. $3 669275
650 2 4 $a Statistics and Computing/Statistics Programs. $3 669775
700 1 $a Sinha, Bikas K. $3 1209578
700 1 $a Chattopadhyay, Asis Kumar. $3 1208720
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer eBooks
856 4 0 $u https://doi.org/10.1007/978-981-13-2146-7
950 $a Mathematics and Statistics (Springer-11649)