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Data analysis for the social sciences : integrating theory and practice / Douglas Bors.

By: Bors, Douglas,, 1950- author.
Call number: H62 B617 2018 Material type: TextTextPublisher: London ; Thousand Oaks, California : SAGE, 2018Description: xv, 642 pages : illustrations ; 24 cm.Content type: text Media type: unmediated Carrier type: volumeISBN: 9781446298480 (pbk.) ; 9781446298473 (hbk.)Subject(s): Social sciences -- ResearchDDC classification: 300.15195
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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Item type Location Location Call number Copy number Barcode Status Date due
10000 General Book General Book ODI General Collection
ODI General Collection H62 B617 2018 (Browse shelf) 1 1000525792 Available

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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