Data analysis for the social sciences :Integrating theory and practice

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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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Dades bibliogràfiques
Autor principal: Bors, Douglas Alexander
Format: Printed Book
Publicat: London Sage 2018
Matèries:
Social sciences
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100 1 |a Bors, Douglas Alexander, 
245 1 0 |a Data analysis for the social sciences :Integrating theory and practice 
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300 |a xv, 642 pages :  |b illustrations ; 
505 2 |a Part I: The foundations -- Part II: Basic research designs -- Part III: Analysing complex designs. 
520 |a 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. 
650 0 |a Social sciences 
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