Data Analysis for the Social Sciences: Integrating Theory and Practice
by Douglas Bors
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$163.00
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Author: Douglas Bors
Publisher: SAGE Publications Ltd
Hardcover:
ISBN 10: 1446298477
ISBN 13: 978-1446298473
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.
Readers will learn how to:
Publisher: SAGE Publications Ltd
Hardcover:
ISBN 10: 1446298477
ISBN 13: 978-1446298473
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.
Readers will learn how to:
- Describe data with graphs, tables, and numbers
- Calculate probability and value distributions
- Test a priori and post hoc hypotheses
- Conduct Chi-squared tests and observational studies
- Structure ANOVA, ANCOVA, and factorial designs