Power analysis for experimental research: a practical guide for the biological, medical, and social sciences
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cambridge
Cambridge University Press
2002
|
| Subjects: | |
| Online Access: | FAW01 FAW02 Volltext |
| Item Description: | Includes bibliographical references (pages 358-361) and index Cover; Half-title; Title; Copyright; Dedication; Contents; Introduction; 1 The conceptual underpinnings of statistical power; 2 Strategies for increasing statistical power; 3 General guidelines for conducting a power analysis; 4 The t-test for independent samples; 5 The paired t-test; 6 One-way between subjects analysis of variance; 7 One-way between subjects analysis of covariance; 8 One-way repeated measures analysis of variance; 9 Interaction effects for factorial analysis of variance; 10 Power analysis for more complex designs Power analysis is an essential tool for determining whether a statistically significant result can be expected in an experiment prior to the experiment being performed. This book provides researchers in the medical and biological sciences with an easy-to-use guide to the application of power analysis in the design of experiments |
| Physical Description: | 1 Online-Ressource (xi, 363 pages) |
| ISBN: | 0511057709 0511064039 051107249X 0511170416 9780511057700 9780511064036 9780511072499 9780511170416 |
Staff View
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Record in the Search Index
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| author | Bausell, Rufus Barker 1942- |
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| dewey-ones | 610 - Medicine and health |
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| dewey-search | 610/.7/2 |
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| id | DE-604.BV043164683 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:19:28Z |
| institution | BVB |
| isbn | 0511057709 0511064039 051107249X 0511170416 9780511057700 9780511064036 9780511072499 9780511170416 |
| language | English |
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| physical | 1 Online-Ressource (xi, 363 pages) |
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| publishDate | 2002 |
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| publisher | Cambridge University Press |
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| spelling | Bausell, Rufus Barker 1942- Verfasser (DE-588)141240792 aut Power analysis for experimental research a practical guide for the biological, medical, and social sciences R. Barker Bausell, Yu-Fang Li Cambridge Cambridge University Press 2002 1 Online-Ressource (xi, 363 pages) txt rdacontent c rdamedia cr rdacarrier Includes bibliographical references (pages 358-361) and index Cover; Half-title; Title; Copyright; Dedication; Contents; Introduction; 1 The conceptual underpinnings of statistical power; 2 Strategies for increasing statistical power; 3 General guidelines for conducting a power analysis; 4 The t-test for independent samples; 5 The paired t-test; 6 One-way between subjects analysis of variance; 7 One-way between subjects analysis of covariance; 8 One-way repeated measures analysis of variance; 9 Interaction effects for factorial analysis of variance; 10 Power analysis for more complex designs Power analysis is an essential tool for determining whether a statistically significant result can be expected in an experiment prior to the experiment being performed. This book provides researchers in the medical and biological sciences with an easy-to-use guide to the application of power analysis in the design of experiments MEDICAL / Research bisacsh Medicine / Research / Statistical methods fast Statistical power analysis fast Medicine / Research / Statistical methods cct Statistical power analysis cct Data Interpretation, Statistical cct Research / Methods cct Data Interpretation, Statistical Research / methods Medizin Medicine Research Statistical methods Statistical power analysis Biostatistik (DE-588)4729990-3 gnd rswk-swf Biostatistik (DE-588)4729990-3 s 1\p DE-604 Li, Yufang Sonstige (DE-588)1130686302 oth Erscheint auch als Druck-Ausgabe, Hardcover 0-521-80916-9 http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=120789 Aggregator Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Bausell, Rufus Barker 1942- Power analysis for experimental research a practical guide for the biological, medical, and social sciences MEDICAL / Research bisacsh Medicine / Research / Statistical methods fast Statistical power analysis fast Medicine / Research / Statistical methods cct Statistical power analysis cct Data Interpretation, Statistical cct Research / Methods cct Data Interpretation, Statistical Research / methods Medizin Medicine Research Statistical methods Statistical power analysis Biostatistik (DE-588)4729990-3 gnd |
| subject_GND | (DE-588)4729990-3 |
| title | Power analysis for experimental research a practical guide for the biological, medical, and social sciences |
| title_auth | Power analysis for experimental research a practical guide for the biological, medical, and social sciences |
| title_exact_search | Power analysis for experimental research a practical guide for the biological, medical, and social sciences |
| title_full | Power analysis for experimental research a practical guide for the biological, medical, and social sciences R. Barker Bausell, Yu-Fang Li |
| title_fullStr | Power analysis for experimental research a practical guide for the biological, medical, and social sciences R. Barker Bausell, Yu-Fang Li |
| title_full_unstemmed | Power analysis for experimental research a practical guide for the biological, medical, and social sciences R. Barker Bausell, Yu-Fang Li |
| title_short | Power analysis for experimental research |
| title_sort | power analysis for experimental research a practical guide for the biological medical and social sciences |
| title_sub | a practical guide for the biological, medical, and social sciences |
| topic | MEDICAL / Research bisacsh Medicine / Research / Statistical methods fast Statistical power analysis fast Medicine / Research / Statistical methods cct Statistical power analysis cct Data Interpretation, Statistical cct Research / Methods cct Data Interpretation, Statistical Research / methods Medizin Medicine Research Statistical methods Statistical power analysis Biostatistik (DE-588)4729990-3 gnd |
| topic_facet | MEDICAL / Research Medicine / Research / Statistical methods Statistical power analysis Data Interpretation, Statistical Research / Methods Research / methods Medizin Medicine Research Statistical methods Biostatistik |
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