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Data analysis for the social sciences :Integrating theory and practice

By: Material type: TextTextPublication details: London Sage 2018Description: xv, 642 pages : illustrationsISBN:
  • 9781446298480
  • 1446298485
  • 1446298477
  • 9781446298473
Subject(s): DDC classification:
  • 300.15195 BOR.D
Partial contents:
Part I: The foundations -- Part II: Basic research designs -- Part III: Analysing complex designs.
Summary: 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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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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