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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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Bibliographic Details
Main Author: Bors, Douglas Alexander
Format: Printed Book
Published: London: Sage, 2018.
Subjects:
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020 |a 9781446298480 
082 0 4 |a 650.0212  |b BOR 
100 1 |a Bors, Douglas Alexander, 
245 1 0 |a Data analysis for the social sciences :  |b integrating theory and practice /  |c Douglas Bors. 
260 |a London:  |b Sage,  |c 2018. 
300 |a xv, 642 pages :  |b illustrations ; 
504 |a Includes bibliographical references (pages 630-636) and index. 
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 Statistics for business management  |a Statistics 
650 7 |a Social sciences 
942 |c BK 
999 |c 306384  |d 306384 
952 |0 0  |1 0  |4 0  |6 650_021200000000000_BOR  |7 0  |9 327420  |a IMK  |b IMK  |d 2020-10-23  |g 3345.04  |l 0  |o 650.0212 BOR  |p IMK15861  |r 2020-10-23  |w 2020-10-23  |y BK