Data analysis for the social sciences : integrating theory and practice / Douglas Bors.
Material type: TextPublisher: Los Angeles; London : SAGE, 2018Description: xv, 642 pages : illustrations ; 24 cmContent type:- text
- unmediated
- volume
- 9781446298480
- 1446298485
- 1446298477
- 9781446298473
- 300.15195 23 BOR
Item type | Current library | Collection | Call number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|---|
Books | Prof. Ram Dayal Munda Central Library General Stacks | Sociology | 300.15195 BOR (Browse shelf(Opens below)) | Available | 80542 |
Browsing Prof. Ram Dayal Munda Central Library shelves, Shelving location: General Stacks, Collection: Sociology Close shelf browser (Hides shelf browser)
300.1 HOW Discourse / | 300.1 RAO Sociology : Principles of sociology with an introduction to social thought | 300.1 RAO Sociology : Principles of sociology with an introduction to social thought | 300.15195 BOR Data analysis for the social sciences : | 300.15195 BRU An introduction to r for spatial analysis and mapping / | 300.15195 BRU An introduction to r for spatial analysis and mapping / | 300.15195 BRU An introduction to r for spatial analysis and mapping / |
Includes bibliographical references (pages 630-636) and index.
Part I: The foundations -- Part II: Basic research designs -- Part III: Analysing complex designs.
Accessible, engaging, and informative, this text will help any social science student approach statistics with confidence. With a well-paced and well-judged integrated approach rather than a simple linear trajectory, this book progresses at a realistic speed that matches the pace at which statistics novices actually learn. Packed with global, interdisciplinary examples that ground statistical theory and concepts in real-world situations, it shows readers not only how to apply newfound knowledge using IBM® SPSS® Statistics, but also why they would want to. Spanning statistics basics like variables, constants, and sampling to t-tests, multiple regression, and factor analysis, it builds statistical literacy while also covering key research principles like research questions, error types, and results reliability.
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