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Thomas J.Linneman

Social Statistics: Managing Data, Conducting Analyses, Presenting Results

Social Statistics: Managing Data, Conducting Analyses, Presenting Results

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This text covers contemporary statistical techniques for social research,using clear, engaging writing and fascinating examples. It introduces students to the techniques at an introductory level and guides them through increasingly complex examples. Recurrent examples using four timely topics—health, immigration, income inequality, and everyday harassment—help students understand how the techniques fit together and how to use them in combination. The new edition emphasizes the importance of combining techniques and features new literature examples and updated SPSS demonstrations.

\n Format: Paperback / softback
\n Length: 644 pages
\n Publication date: 31 December 2021
\n Publisher: Taylor & Francis Ltd
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This comprehensive text provides students with a solid foundation in contemporary statistical techniques used in social research. Written in a clear, engaging style, it employs fascinating examples drawn from a wide range of real-world data to facilitate understanding. The book covers these techniques at an introductory level, carefully guiding students through increasingly complex examples without overwhelming them. Recurring examples using four timely topics—health, immigration, income inequality, and everyday harassment—help students connect the dots and see how these techniques can be applied in combination.

To enhance the learning experience, the text is accompanied by an author-created web resource that offers additional insights and resources. Additionally, the book focuses on effective presentation of research results, a crucial skill for social scientists.

In the new edition of this text, recent research has been incorporated to demonstrate the practical application and evolution of statistical techniques in the academic literature. This showcases the relevance and importance of these skills for students, motivating them to invest time and effort in learning them.

Throughout the book, examples have been updated with the latest data from the General Social Survey, ensuring that students are working with the most current and relevant information. The four timely topics—immigration, health, income inequality, and everyday harassment—are woven seamlessly into the text, providing a coherent and comprehensive framework for understanding statistical techniques.

One notable feature of the new edition is the increased emphasis on the combination of different statistical techniques. After introducing a new technique, the author systematically offers examples of how it can be integrated with techniques learned in previous chapters. This approach not only reinforces the learning process but also prepares students for real-world scenarios where they may need to apply multiple statistical methods to address complex social research questions.

To further enrich the learning experience, the majority of the literature examples that conclude each chapter have been newly revised and updated. These examples provide real-world applications of the statistical techniques discussed, helping students to see how they can be applied in various fields and contexts.

In conclusion, this text is an invaluable resource for students embarking on their journey into social research. With its clear writing style, engaging examples, and comprehensive coverage of statistical techniques, it equips students with the skills and knowledge necessary to analyze and interpret data effectively. The new edition further enhances the learning experience by incorporating recent research, emphasizing the combination of techniques, and providing updated literature examples. Whether you are a social science student or a professional seeking to expand your statistical expertise, this book is a must-have for anyone interested in understanding and applying statistical methods in social research.

\n Weight: 1378g\n
Dimension: 219 x 237 x 43 (mm)\n
ISBN-13: 9781032115283\n
Edition number: 4 New edition\n

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