Comparing groups: randomization and bootstrap methods using R
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| Hauptverfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hoboken, N.J.
Wiley
© 2011
|
| Schlagworte: | |
| Online-Zugang: | FRO01 UBG01 UPA01 Volltext |
| Beschreibung: | Includes bibliographical references (pages 287-298) "This book, written by three behavioral scientists for other behavioral scientists, addresses common issues in statistical analysis for the behavioral and educational sciences. Modern Statistical & Computing Methods for the Behavioral and Educational Sciences using R emphasizes the direct link between scientific research questions and data analysis. Purposeful attention is paid to the integration of design, statistical methodology, and computation to propose answers to specific research questions. Furthermore, practical suggestions for the analysis and presentation of results, in prose, tables and/or figures, are included. Optional sections for each chapter include methodological extensions for readers desiring additional technical details. Rather than focus on mathematical calculations like so many other introductory texts in the behavioral sciences, the authors focus on conceptual explanations and the use of statistical computing. Statistical computing is an integral part of statistical work, and to support student learning in this area, examples using the R computer program are provided throughout the book. Rather than relegate examples to the end of chapters, the authors interweave computer examples with the narrative of the book. Topical coverage includes an introduction to R, data exploration of one variable, data exploration of multivariate data - comparing two groups and many groups, permutation and randomization tests, the independent samples t-Test, the Bootstrap test, interval estimates and effect sizes, power, and dependent samples"-- |
| Beschreibung: | 1 Online-Ressource (xxxii, 298 pages) |
| ISBN: | 9781118063682 1118063686 111806366X 9781118063668 |
| DOI: | 10.1002/9781118063682 |
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| discipline | Sprachwissenschaft Informatik Soziologie Mathematik Literaturwissenschaft |
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| indexdate | 2024-07-10T07:24:45Z |
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| spelling | Zieffler, Andrew 1974- Verfasser (DE-588)1013682084 aut Comparing groups randomization and bootstrap methods using R Andrew S. Zieffler, Jeffrey R. Harring, Jeffrey D. Long Hoboken, N.J. Wiley © 2011 1 Online-Ressource (xxxii, 298 pages) txt rdacontent c rdamedia cr rdacarrier Includes bibliographical references (pages 287-298) "This book, written by three behavioral scientists for other behavioral scientists, addresses common issues in statistical analysis for the behavioral and educational sciences. Modern Statistical & Computing Methods for the Behavioral and Educational Sciences using R emphasizes the direct link between scientific research questions and data analysis. Purposeful attention is paid to the integration of design, statistical methodology, and computation to propose answers to specific research questions. Furthermore, practical suggestions for the analysis and presentation of results, in prose, tables and/or figures, are included. Optional sections for each chapter include methodological extensions for readers desiring additional technical details. Rather than focus on mathematical calculations like so many other introductory texts in the behavioral sciences, the authors focus on conceptual explanations and the use of statistical computing. Statistical computing is an integral part of statistical work, and to support student learning in this area, examples using the R computer program are provided throughout the book. Rather than relegate examples to the end of chapters, the authors interweave computer examples with the narrative of the book. Topical coverage includes an introduction to R, data exploration of one variable, data exploration of multivariate data - comparing two groups and many groups, permutation and randomization tests, the independent samples t-Test, the Bootstrap test, interval estimates and effect sizes, power, and dependent samples"-- SOCIAL SCIENCE / Statistics bisacsh Bootstrap (Statistics) fast Distribution (Probability theory) fast Psychology / Data processing fast R (Computer program language) fast Random data (Statistics) fast Datenverarbeitung Statistik Bootstrap (Statistics) Random data (Statistics) Psychology / Data processing R (Computer program language) Distribution (Probability theory) Statistik (DE-588)4056995-0 gnd rswk-swf Große Abweichung (DE-588)4330658-5 gnd rswk-swf Electronic books Statistik (DE-588)4056995-0 s Große Abweichung (DE-588)4330658-5 s DE-604 Harring, Jeffrey 1964- Verfasser (DE-588)1013682122 aut Long, Jeffrey D. 1964- Verfasser (DE-588)1013682173 aut Erscheint auch als Druck-Ausgabe, Hardcover 978-0-470-62169-1 https://doi.org/10.1002/9781118063682 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Zieffler, Andrew 1974- Harring, Jeffrey 1964- Long, Jeffrey D. 1964- Comparing groups randomization and bootstrap methods using R SOCIAL SCIENCE / Statistics bisacsh Bootstrap (Statistics) fast Distribution (Probability theory) fast Psychology / Data processing fast R (Computer program language) fast Random data (Statistics) fast Datenverarbeitung Statistik Bootstrap (Statistics) Random data (Statistics) Psychology / Data processing R (Computer program language) Distribution (Probability theory) Statistik (DE-588)4056995-0 gnd Große Abweichung (DE-588)4330658-5 gnd |
| subject_GND | (DE-588)4056995-0 (DE-588)4330658-5 |
| title | Comparing groups randomization and bootstrap methods using R |
| title_auth | Comparing groups randomization and bootstrap methods using R |
| title_exact_search | Comparing groups randomization and bootstrap methods using R |
| title_full | Comparing groups randomization and bootstrap methods using R Andrew S. Zieffler, Jeffrey R. Harring, Jeffrey D. Long |
| title_fullStr | Comparing groups randomization and bootstrap methods using R Andrew S. Zieffler, Jeffrey R. Harring, Jeffrey D. Long |
| title_full_unstemmed | Comparing groups randomization and bootstrap methods using R Andrew S. Zieffler, Jeffrey R. Harring, Jeffrey D. Long |
| title_short | Comparing groups |
| title_sort | comparing groups randomization and bootstrap methods using r |
| title_sub | randomization and bootstrap methods using R |
| topic | SOCIAL SCIENCE / Statistics bisacsh Bootstrap (Statistics) fast Distribution (Probability theory) fast Psychology / Data processing fast R (Computer program language) fast Random data (Statistics) fast Datenverarbeitung Statistik Bootstrap (Statistics) Random data (Statistics) Psychology / Data processing R (Computer program language) Distribution (Probability theory) Statistik (DE-588)4056995-0 gnd Große Abweichung (DE-588)4330658-5 gnd |
| topic_facet | SOCIAL SCIENCE / Statistics Bootstrap (Statistics) Distribution (Probability theory) Psychology / Data processing R (Computer program language) Random data (Statistics) Datenverarbeitung Statistik Große Abweichung |
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