Power analysis for experimental research: a practical guide for the biological, medical, and social sciences
Power analysis is an essential tool for determining whether a statistically significant result can be expected in a scientific experiment prior to the experiment being performed. Many funding agencies and institutional review boards now require power analyses to be carried out before they will appro...
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2002
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| Schlagworte: | |
| Online-Zugang: | BSB01 FHN01 Volltext |
| Zusammenfassung: | Power analysis is an essential tool for determining whether a statistically significant result can be expected in a scientific experiment prior to the experiment being performed. Many funding agencies and institutional review boards now require power analyses to be carried out before they will approve experiments, particularly where they involve the use of human subjects. This comprehensive, yet accessible, book provides practising researchers with step-by-step instructions for conducting power/sample size analyses, assuming only basic prior knowledge of summary statistics and the normal distribution. It contains a unified approach to statistical power analysis, with numerous easy-to-use tables to guide the reader without the need for further calculations or statistical expertise. This will be an indispensable text for researchers and graduates in the medical and biological sciences needing to apply power analysis in the design of their experiments |
| Beschreibung: | Title from publisher's bibliographic system (viewed on 05 Oct 2015) |
| Beschreibung: | 1 online resource (xi, 363 pages) |
| ISBN: | 9780511541933 |
| DOI: | 10.1017/CBO9780511541933 |
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| 505 | 8 | |a The conceptual underpinnings of statistical power -- Strategies for increasing statistical power -- General guidelines for conducting a power analysis -- The t-test for independent samples -- The paired t-test -- One-way between subjects analysis of variance -- One-way between subjects analysis of covariance -- One-way repeated measures analysis of variance -- Interaction effects for factorial analysis of variance -- Power analysis for more complex designs -- Other power analytic issues and resources for addressing them | |
| 520 | |a Power analysis is an essential tool for determining whether a statistically significant result can be expected in a scientific experiment prior to the experiment being performed. Many funding agencies and institutional review boards now require power analyses to be carried out before they will approve experiments, particularly where they involve the use of human subjects. This comprehensive, yet accessible, book provides practising researchers with step-by-step instructions for conducting power/sample size analyses, assuming only basic prior knowledge of summary statistics and the normal distribution. It contains a unified approach to statistical power analysis, with numerous easy-to-use tables to guide the reader without the need for further calculations or statistical expertise. This will be an indispensable text for researchers and graduates in the medical and biological sciences needing to apply power analysis in the design of their experiments | ||
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Datensatz im Suchindex
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| author | Bausell, Rufus Barker 1942- |
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| contents | The conceptual underpinnings of statistical power -- Strategies for increasing statistical power -- General guidelines for conducting a power analysis -- The t-test for independent samples -- The paired t-test -- One-way between subjects analysis of variance -- One-way between subjects analysis of covariance -- One-way repeated measures analysis of variance -- Interaction effects for factorial analysis of variance -- Power analysis for more complex designs -- Other power analytic issues and resources for addressing them |
| ctrlnum | (ZDB-20-CBO)CR9780511541933 (OCoLC)1122631306 (DE-599)BVBBV043945535 |
| dewey-full | 610/.7/2 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 610 - Medicine and health |
| dewey-raw | 610/.7/2 |
| dewey-search | 610/.7/2 |
| dewey-sort | 3610 17 12 |
| dewey-tens | 610 - Medicine and health |
| discipline | Biologie Medizin |
| doi_str_mv | 10.1017/CBO9780511541933 |
| format | Electronic eBook |
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| indexdate | 2024-07-10T07:39:23Z |
| institution | BVB |
| isbn | 9780511541933 |
| language | English |
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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 resource (xi, 363 pages) txt rdacontent c rdamedia cr rdacarrier Title from publisher's bibliographic system (viewed on 05 Oct 2015) The conceptual underpinnings of statistical power -- Strategies for increasing statistical power -- General guidelines for conducting a power analysis -- The t-test for independent samples -- The paired t-test -- One-way between subjects analysis of variance -- One-way between subjects analysis of covariance -- One-way repeated measures analysis of variance -- Interaction effects for factorial analysis of variance -- Power analysis for more complex designs -- Other power analytic issues and resources for addressing them Power analysis is an essential tool for determining whether a statistically significant result can be expected in a scientific experiment prior to the experiment being performed. Many funding agencies and institutional review boards now require power analyses to be carried out before they will approve experiments, particularly where they involve the use of human subjects. This comprehensive, yet accessible, book provides practising researchers with step-by-step instructions for conducting power/sample size analyses, assuming only basic prior knowledge of summary statistics and the normal distribution. It contains a unified approach to statistical power analysis, with numerous easy-to-use tables to guide the reader without the need for further calculations or statistical expertise. This will be an indispensable text for researchers and graduates in the medical and biological sciences needing to apply power analysis in the design of their experiments 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, Yu-Fang 1966- Sonstige oth Erscheint auch als Druckausgabe 978-0-521-02456-3 Erscheint auch als Druckausgabe 978-0-521-80916-0 https://doi.org/10.1017/CBO9780511541933 Verlag URL des Erstveröffentlichers 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 The conceptual underpinnings of statistical power -- Strategies for increasing statistical power -- General guidelines for conducting a power analysis -- The t-test for independent samples -- The paired t-test -- One-way between subjects analysis of variance -- One-way between subjects analysis of covariance -- One-way repeated measures analysis of variance -- Interaction effects for factorial analysis of variance -- Power analysis for more complex designs -- Other power analytic issues and resources for addressing them 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 | Medizin Medicine / Research / Statistical methods Statistical power analysis Biostatistik (DE-588)4729990-3 gnd |
| topic_facet | Medizin Medicine / Research / Statistical methods Statistical power analysis Biostatistik |
| url | https://doi.org/10.1017/CBO9780511541933 |
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