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Data analysis for the social sciences : integrating theory and practice /
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...
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| Format: | Printed Book |
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London:
Sage,
2018.
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| 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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| Physical Description: | xv, 642 pages : illustrations ; |
| Bibliography: | Includes bibliographical references (pages 630-636) and index. |
| ISBN: | 9781446298480 |