000			02804nam a22003618i 4500
001			CR9780511541933
003			UkCbUP
005			20200124160328.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			090501s2002||||enk o ||1 0|eng|d
020			_a9780511541933 (ebook)
020			_z9780521809160 (hardback)
020			_z9780521024563 (paperback)
040			_aUkCbUP _beng _erda _cUkCbUP
050	0	0	_aR853.S7 _bB375 2002
082	0	0	_a610/.7/2 _221
100	1		_aBausell, R. Barker, _d1942- _eauthor.
245	1	0	_aPower analysis for experimental research : _ba practical guide for the biological, medical, and social sciences / _cR. Barker Bausell, Yu-Fang Li.
264		1	_aCambridge : _bCambridge University Press, _c2002.
300			_a1 online resource (xi, 363 pages) : _bdigital, PDF file(s).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
500			_aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
505	0		_aThe 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			_aPower 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.
650		0	_aMedicine _xResearch _xStatistical methods.
650		0	_aStatistical power analysis.
700	1		_aLi, Yu-Fang, _d1966- _eauthor.
776	0	8	_iPrint version: _z9780521809160
856	4	0	_uhttps://doi.org/10.1017/CBO9780511541933
999			_c522322 _d522320