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IBM SPSS Statistics 19 Made Simple

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This new edition of a widely used textbook introduces readers to data analysis using IBM SPSS Statistics 19, showcasing its powerful and versatile features. While each release of SPSS includes new options and enhancements, the core principles and techniques remain relevant. The book combines clarity and simplicity with a comprehensive approach to using SPSS for data description, exploration, and confirmation. It addresses reader feedback from previous editions and includes an introduction to Analysis of Covariance (ANCOVA). Each statistical technique is contextualized within realistic research scenarios, supplemented by annotated screenshots of SPSS dialog boxes and output. The first chapter surveys typical research situations, key terms, and provides guidance on selecting statistical techniques, along with reporting results per American Psychological Association guidelines. Subsequent chapters delve into data entry, description, exploration, and the capabilities of the Chart Builder. Each chapter focuses on specific research situations and appropriate statistical techniques. The book also covers pitfalls in statistical misuse, offers insights into using Syntax for procedures, and presents a comprehensive glossary in an attractive two-colour format. Accompanying resources include datasets, exercises, and instructor materials available online. For more details, visit the provided website.

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IBM SPSS Statistics 19 Made Simple, Colin D. Gray, Paul R. Kinnear

Langue
Année de publication
2012
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(souple),
État du livre
Très bon
Prix
3,99 €

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Titre
IBM SPSS Statistics 19 Made Simple
Langue
Anglais
Publié
2012
Format
souple
Pages
686
ISBN10
1848720696
ISBN13
9781848720695
Séries
Description
This new edition of a widely used textbook introduces readers to data analysis using IBM SPSS Statistics 19, showcasing its powerful and versatile features. While each release of SPSS includes new options and enhancements, the core principles and techniques remain relevant. The book combines clarity and simplicity with a comprehensive approach to using SPSS for data description, exploration, and confirmation. It addresses reader feedback from previous editions and includes an introduction to Analysis of Covariance (ANCOVA). Each statistical technique is contextualized within realistic research scenarios, supplemented by annotated screenshots of SPSS dialog boxes and output. The first chapter surveys typical research situations, key terms, and provides guidance on selecting statistical techniques, along with reporting results per American Psychological Association guidelines. Subsequent chapters delve into data entry, description, exploration, and the capabilities of the Chart Builder. Each chapter focuses on specific research situations and appropriate statistical techniques. The book also covers pitfalls in statistical misuse, offers insights into using Syntax for procedures, and presents a comprehensive glossary in an attractive two-colour format. Accompanying resources include datasets, exercises, and instructor materials available online. For more details, visit the provided website.