Data analysis for the social sciences : integrating theory and practice /
spine title : Data analysis for the social sciences.
Douglas Bors.
- xv, 642 pages : illustrations ; 24 cm.
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 IBMSSatistics, 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.