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

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{u04D0}SS{u04F4}atistics, 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.