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- 686 Seiten
- 25 Lesestunden
Mehr zum Buch
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.
Buchkauf
IBM SPSS Statistics 19 Made Simple, Colin D. Gray, Paul R. Kinnear
- Sprache
- Erscheinungsdatum
- 2012
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- Titel
- IBM SPSS Statistics 19 Made Simple
- Sprache
- Englisch
- Autor*innen
- Colin D. Gray, Paul R. Kinnear
- Verlag
- Psychology Press
- Erscheinungsdatum
- 2012
- Einband
- Paperback
- Seitenzahl
- 686
- ISBN10
- 1848720696
- ISBN13
- 9781848720695
- Reihe
- Schlagwörter
- Sachbücher, Sozialwissenschaften, Lehrbücher, Technologie & Industrie, Wissenschaft & Mathematik, Psychologie, Datenanalyse
- Beschreibung
- 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.