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 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 analysi...
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Cambridge ; New York :
Cambridge University Press,
2002.
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Schlagworte: | |
Online-Zugang: | Volltext |
Zusammenfassung: | 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. |
Beschreibung: | 1 online resource (xi, 363 pages) : illustrations |
Bibliographie: | Includes bibliographical references (pages 358-361) and index. |
ISBN: | 9780511064036 0511064039 9780511057700 0511057709 9780511072499 051107249X 9780511170416 0511170416 9780511541933 0511541937 9781107131828 1107131820 9786610433797 6610433798 9780511331251 0511331258 9781139147569 1139147560 |
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245 | 1 | 0 | |a Power analysis for experimental research : |b a practical guide for the biological, medical, and social sciences / |c R. Barker Bausell, Yu-Fang Li. |
260 | |a Cambridge ; |a New York : |b Cambridge University Press, |c 2002. | ||
300 | |a 1 online resource (xi, 363 pages) : |b illustrations | ||
336 | |a text |b txt |2 rdacontent | ||
337 | |a computer |b c |2 rdamedia | ||
338 | |a online resource |b cr |2 rdacarrier | ||
347 | |a data file | ||
504 | |a Includes bibliographical references (pages 358-361) and index. | ||
505 | 0 | |a 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. | |
520 | |a 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. | ||
588 | 0 | |a Print version record. | |
546 | |a English. | ||
650 | 0 | |a Medicine |x Research |x Statistical methods. | |
650 | 0 | |a Statistical power analysis. |0 http://id.loc.gov/authorities/subjects/sh2002004454 | |
650 | 1 | 2 | |a Data Interpretation, Statistical |
650 | 1 | 2 | |a Research Design |
650 | 6 | |a Médecine |x Recherche |x Méthodes statistiques. | |
650 | 6 | |a Analyse de puissance (Statistique) | |
650 | 7 | |a MEDICAL |x Research. |2 bisacsh | |
650 | 0 | 7 | |a Medicine |x Research |x Statistical methods. |2 cct |
650 | 0 | 7 | |a Statistical power analysis. |2 cct |
650 | 0 | 7 | |a Data Interpretation, Statistical. |2 cct |
650 | 0 | 7 | |a Research |x Methods. |2 cct |
650 | 7 | |a Medicine |x Research |x Statistical methods |2 fast | |
650 | 7 | |a Statistical power analysis |2 fast | |
700 | 1 | |a Li, Yu-Fang, |d 1966- |1 https://id.oclc.org/worldcat/entity/E39PCjwT9CXrJwYycYFFHxtrpX |0 http://id.loc.gov/authorities/names/n2002013615 | |
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776 | 0 | 8 | |i Print version: |a Bausell, R. Barker, 1942- |t Power analysis for experimental research. |d Cambridge ; New York : Cambridge University Press, 2002 |w (DLC) 2002071560 |
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DE-BY-FWS_katkey | ZDB-4-EBA-ocn228111101 |
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adam_text | |
any_adam_object | |
author | Bausell, R. Barker, 1942- |
author2 | Li, Yu-Fang, 1966- |
author2_role | |
author2_variant | y f l yfl |
author_GND | http://id.loc.gov/authorities/names/n80015332 http://id.loc.gov/authorities/names/n2002013615 |
author_facet | Bausell, R. Barker, 1942- Li, Yu-Fang, 1966- |
author_role | |
author_sort | Bausell, R. Barker, 1942- |
author_variant | r b b rb rbb |
building | Verbundindex |
bvnumber | localFWS |
callnumber-first | R - Medicine |
callnumber-label | R853 |
callnumber-raw | R853.S7 B375 2002eb |
callnumber-search | R853.S7 B375 2002eb |
callnumber-sort | R 3853 S7 B375 42002EB |
callnumber-subject | R - General Medicine |
collection | ZDB-4-EBA |
contents | 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. |
ctrlnum | (OCoLC)228111101 |
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 | Medizin |
format | Electronic eBook |
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id | ZDB-4-EBA-ocn228111101 |
illustrated | Illustrated |
indexdate | 2024-11-27T13:16:20Z |
institution | BVB |
isbn | 9780511064036 0511064039 9780511057700 0511057709 9780511072499 051107249X 9780511170416 0511170416 9780511541933 0511541937 9781107131828 1107131820 9786610433797 6610433798 9780511331251 0511331258 9781139147569 1139147560 |
language | English |
oclc_num | 228111101 |
open_access_boolean | |
owner | MAIN DE-863 DE-BY-FWS |
owner_facet | MAIN DE-863 DE-BY-FWS |
physical | 1 online resource (xi, 363 pages) : illustrations |
psigel | ZDB-4-EBA |
publishDate | 2002 |
publishDateSearch | 2002 |
publishDateSort | 2002 |
publisher | Cambridge University Press, |
record_format | marc |
spelling | Bausell, R. Barker, 1942- https://id.oclc.org/worldcat/entity/E39PBJc7XDd3pHHVcfkFtDxFKd http://id.loc.gov/authorities/names/n80015332 Power analysis for experimental research : a practical guide for the biological, medical, and social sciences / R. Barker Bausell, Yu-Fang Li. Cambridge ; New York : Cambridge University Press, 2002. 1 online resource (xi, 363 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier data file 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. Print version record. English. Medicine Research Statistical methods. Statistical power analysis. http://id.loc.gov/authorities/subjects/sh2002004454 Data Interpretation, Statistical Research Design Médecine Recherche Méthodes statistiques. Analyse de puissance (Statistique) MEDICAL Research. bisacsh Medicine Research Statistical methods. cct Statistical power analysis. cct Data Interpretation, Statistical. cct Research Methods. cct Medicine Research Statistical methods fast Statistical power analysis fast Li, Yu-Fang, 1966- https://id.oclc.org/worldcat/entity/E39PCjwT9CXrJwYycYFFHxtrpX http://id.loc.gov/authorities/names/n2002013615 has work: Power analysis for experimental research (Text) https://id.oclc.org/worldcat/entity/E39PCGvd8yfPjCjJyK8jw8DkQq https://id.oclc.org/worldcat/ontology/hasWork Print version: Bausell, R. Barker, 1942- Power analysis for experimental research. Cambridge ; New York : Cambridge University Press, 2002 (DLC) 2002071560 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=120789 Volltext |
spellingShingle | Bausell, R. Barker, 1942- Power analysis for experimental research : a practical guide for the biological, medical, and social sciences / 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. Medicine Research Statistical methods. Statistical power analysis. http://id.loc.gov/authorities/subjects/sh2002004454 Data Interpretation, Statistical Research Design Médecine Recherche Méthodes statistiques. Analyse de puissance (Statistique) MEDICAL Research. bisacsh Medicine Research Statistical methods. cct Statistical power analysis. cct Data Interpretation, Statistical. cct Research Methods. cct Medicine Research Statistical methods fast Statistical power analysis fast |
subject_GND | http://id.loc.gov/authorities/subjects/sh2002004454 |
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 | Medicine Research Statistical methods. Statistical power analysis. http://id.loc.gov/authorities/subjects/sh2002004454 Data Interpretation, Statistical Research Design Médecine Recherche Méthodes statistiques. Analyse de puissance (Statistique) MEDICAL Research. bisacsh Medicine Research Statistical methods. cct Statistical power analysis. cct Data Interpretation, Statistical. cct Research Methods. cct Medicine Research Statistical methods fast Statistical power analysis fast |
topic_facet | Medicine Research Statistical methods. Statistical power analysis. Data Interpretation, Statistical Research Design Médecine Recherche Méthodes statistiques. Analyse de puissance (Statistique) MEDICAL Research. Data Interpretation, Statistical. Research Methods. Medicine Research Statistical methods Statistical power analysis |
url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=120789 |
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