The handbook of data analysis
Contributor(s): Hardy, Melissa [Editor]
| Bryman, Alan [Editor]
Publisher: Los Angeles Sage Publications 2009Description: xviii, 704 p ISBN: 9781848601161Subject(s): Social sciences --Statistical methods | Social sciences --Research --Statistical methods | Social sciences --Mathematical models | Qualitative researchDDC classification: 300.72 Summary: This is a book that will rapidly be recognized as the bible for social researchers. It provides a first-class, reliable guide to the basic issues in data analysis, such as the construction of variables, the characterization of distributions and the notions of inference. Scholars and students can turn to it for teaching and applied needs with confidence. The book also seeks to enhance debate in the field by tackling more advanced topics such as models of change, causality, panel models and network analysis. Specialists will find much food for thought in these chapters. A distinctive feature of the book is the breadth of coverage. No other book provides a better one-stop survey of the field of data analysis. In 30 specially commissioned chapters the editors aim to encourage readers to develop an appreciation of the range of analytic options available, so they can choose a research problem and then develop a suitable approach to data analysis. (Source: www.alibris.com)
| Item type | Current location | Item location | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|---|
| Books | Vikram Sarabhai Library | Slot 228 (0 Floor, West Wing) | 300.72 H2H2/2009 (Browse shelf) | Available | 168364 |
This is a book that will rapidly be recognized as the bible for social researchers. It provides a first-class, reliable guide to the basic issues in data analysis, such as the construction of variables, the characterization of distributions and the notions of inference. Scholars and students can turn to it for teaching and applied needs with confidence. The book also seeks to enhance debate in the field by tackling more advanced topics such as models of change, causality, panel models and network analysis. Specialists will find much food for thought in these chapters. A distinctive feature of the book is the breadth of coverage. No other book provides a better one-stop survey of the field of data analysis. In 30 specially commissioned chapters the editors aim to encourage readers to develop an appreciation of the range of analytic options available, so they can choose a research problem and then develop a suitable approach to data analysis. (Source: www.alibris.com)
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