000			02077cam a2200313 a 4500
008			150211s2016 cau b 001 0 eng
010			_a 2014048058
020			_a9781483319544
040			_aDLC _beng _cDLC _dDLC
042			_apcc
050	0	0	_aQ180.55.S7 _bK73 2016
082	0	0	_a001.4/22 _223
100	1		_aKraemer, Helena Chmura
245	1	0	_aHow many subjects? : _bstatistical power analysis in research / _cHelena Chmura Kraemer; Christine Blasey
250			_a2nd ed.
260			_aLos Angeles : _bSage Publicastions, Inc., _cc2016.
300			_axiii, 140 p. : _bill. ; _c23 cm.
504			_aIncludes bibliographical references (p. 129-131) and index.
505	0		_aThe rules of the game -- General concepts -- The pivotal case : interclass correlation -- Equality of means : Z- and T-test, balanced anova -- Correlation coefficients -- Linear regression analysis -- Homogeneity of variance tests -- Binomial tests -- Contingency table analysis -- Wrap-up.
650		0	_aResearch _xStatistical methods
650		0	_aStatistical power analysis
700	1		_aBlasey, Christine
035			_a(IMchF)fol15580454
520			_aWith increased emphasis on helping readers understand the context in which power calculations are done, this Second Edition of How Many Subjects? by Helena Chmura Kraemer and Christine Blasey introduces a simple technique of statistical power analysis that allows researchers to compute approximate sample sizes and power for a wide range of research designs. Because the same technique is used with only slight modifications for different statistical tests, researchers can then easily compare the sample sizes required by different designs and tests to make cost-effective decisions in planning a study. These comparisons demonstrate important principles of design, measurement, and analysis that are rarely discussed in courses or textbooks, making this book a valuable instructional resource as well as a must-have guide for frequent reference.
005			20170126100842.0
001			61272
003			UOWD
942			_cREGULAR
999			_c27245 _d27245