| Description |
1 online resource (xi, 363 pages) : illustrations |
| Physical Medium |
polychrome |
| Description |
text file |
| Bibliography |
Includes bibliographical references (pages 358-361) and index. |
| 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. |
| Summary |
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. |
| Local Note |
eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America |
| Subject |
Medicine -- Research -- Statistical methods.
|
|
Medicine -- Research -- Statistical methods. |
|
Statistical power analysis.
|
|
Statistical power analysis. |
|
Data Interpretation, Statistical. |
|
Research Design. |
| Genre/Form |
Electronic books.
|
| Added Author |
Li, Yu-Fang, 1966-
|
| Other Form: |
Print version: Bausell, R. Barker, 1942- Power analysis for experimental research. Cambridge ; New York : Cambridge University Press, 2002 (DLC) 2002071560 |
| ISBN |
0511064039 (electronic book) |
|
9780511064036 (electronic book) |
|
0511057709 |
|
9780511057700 |
|
051107249X |
|
9780511072499 |
|
0511170416 (electronic book) |
|
9780511170416 (electronic book) |
|
0511541937 (electronic book) |
|
9780511541933 (electronic book) |
|
0521809169 (hardback) |
|
1280433795 |
|
9781280433795 |
|
