Statistical methods in social science research:
"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 concret...
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Singapore
Springer
[2018]
|
| Schlagworte: | |
| Zusammenfassung: | "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."--Page 4 of cover |
| Beschreibung: | xi, 152 Seiten Diagramme |
| ISBN: | 9789811321450 9811321450 |
Internformat
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| 245 | 1 | 0 | |a Statistical methods in social science research |c S.P. Mukherjee, Bikas K. Sinha, Asis Kumar Chattopadhyay |
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| 505 | 8 | |a 1. Introduction -- 2. Randomized response techniques -- 3. Content analysis -- 4. Scaling techniques -- 5. Data integration techniques -- 6. Statistical assessment of agreement -- 7. Meta-analysis -- 8. Cluster and discriminant analysis -- 9. Principal component analysis -- 10. Factor analysis -- 11. Multidimensional scaling -- 12. Social and occupational mobility -- 13. Social network analysis | |
| 520 | 3 | |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."--Page 4 of cover | |
| 653 | 0 | |a Social sciences / Research / Statistical methods | |
| 653 | 0 | |a Social sciences / Statistical methods | |
| 653 | 0 | |a Social sciences / Research / Statistical methods | |
| 653 | 0 | |a Social sciences / Statistical methods | |
| 700 | 1 | |a Sinha, Bikas Kumar |e Verfasser |0 (DE-588)1054303991 |4 aut | |
| 700 | 1 | |a Chattopadhyay, Asis Kumar |e Verfasser |0 (DE-588)1058425633 |4 aut | |
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Datensatz im Suchindex
| _version_ | 1804180283178614784 |
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| any_adam_object | |
| author | Mukherjee, S. P. 1940- Sinha, Bikas Kumar Chattopadhyay, Asis Kumar |
| author_GND | (DE-588)1112348239 (DE-588)1054303991 (DE-588)1058425633 |
| author_facet | Mukherjee, S. P. 1940- Sinha, Bikas Kumar Chattopadhyay, Asis Kumar |
| author_role | aut aut aut |
| author_sort | Mukherjee, S. P. 1940- |
| author_variant | s p m sp spm b k s bk bks a k c ak akc |
| building | Verbundindex |
| bvnumber | BV046031900 |
| classification_rvk | SK 850 MR 2200 |
| contents | 1. Introduction -- 2. Randomized response techniques -- 3. Content analysis -- 4. Scaling techniques -- 5. Data integration techniques -- 6. Statistical assessment of agreement -- 7. Meta-analysis -- 8. Cluster and discriminant analysis -- 9. Principal component analysis -- 10. Factor analysis -- 11. Multidimensional scaling -- 12. Social and occupational mobility -- 13. Social network analysis |
| ctrlnum | (OCoLC)1055681057 (DE-599)BVBBV046031900 |
| discipline | Soziologie Mathematik |
| format | Book |
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| id | DE-604.BV046031900 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:33:18Z |
| institution | BVB |
| isbn | 9789811321450 9811321450 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-031413759 |
| oclc_num | 1055681057 |
| open_access_boolean | |
| owner | DE-521 |
| owner_facet | DE-521 |
| physical | xi, 152 Seiten Diagramme |
| publishDate | 2018 |
| publishDateSearch | 2018 |
| publishDateSort | 2018 |
| publisher | Springer |
| record_format | marc |
| spelling | Mukherjee, S. P. 1940- Verfasser (DE-588)1112348239 aut Statistical methods in social science research S.P. Mukherjee, Bikas K. Sinha, Asis Kumar Chattopadhyay Singapore Springer [2018] © 2018 xi, 152 Seiten Diagramme txt rdacontent n rdamedia nc rdacarrier 1. Introduction -- 2. Randomized response techniques -- 3. Content analysis -- 4. Scaling techniques -- 5. Data integration techniques -- 6. Statistical assessment of agreement -- 7. Meta-analysis -- 8. Cluster and discriminant analysis -- 9. Principal component analysis -- 10. Factor analysis -- 11. Multidimensional scaling -- 12. Social and occupational mobility -- 13. 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."--Page 4 of cover Social sciences / Research / Statistical methods Social sciences / Statistical methods Sinha, Bikas Kumar Verfasser (DE-588)1054303991 aut Chattopadhyay, Asis Kumar Verfasser (DE-588)1058425633 aut Erscheint auch als Online-Ausgabe 10.1007/978-981-132-146-7 978-981-132-146-7 |
| spellingShingle | Mukherjee, S. P. 1940- Sinha, Bikas Kumar Chattopadhyay, Asis Kumar Statistical methods in social science research 1. Introduction -- 2. Randomized response techniques -- 3. Content analysis -- 4. Scaling techniques -- 5. Data integration techniques -- 6. Statistical assessment of agreement -- 7. Meta-analysis -- 8. Cluster and discriminant analysis -- 9. Principal component analysis -- 10. Factor analysis -- 11. Multidimensional scaling -- 12. Social and occupational mobility -- 13. Social network analysis |
| title | Statistical methods in social science research |
| title_auth | Statistical methods in social science research |
| title_exact_search | Statistical methods in social science research |
| title_full | Statistical methods in social science research S.P. Mukherjee, Bikas K. Sinha, Asis Kumar Chattopadhyay |
| title_fullStr | Statistical methods in social science research S.P. Mukherjee, Bikas K. Sinha, Asis Kumar Chattopadhyay |
| title_full_unstemmed | Statistical methods in social science research S.P. Mukherjee, Bikas K. Sinha, Asis Kumar Chattopadhyay |
| title_short | Statistical methods in social science research |
| title_sort | statistical methods in social science research |
| work_keys_str_mv | AT mukherjeesp statisticalmethodsinsocialscienceresearch AT sinhabikaskumar statisticalmethodsinsocialscienceresearch AT chattopadhyayasiskumar statisticalmethodsinsocialscienceresearch |