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. 129131) and index.  
505  0  _aThe rules of the game  General concepts  The pivotal case : interclass correlation  Equality of means : Z and Ttest, balanced anova  Correlation coefficients  Linear regression analysis  Homogeneity of variance tests  Binomial tests  Contingency table analysis  Wrapup.  
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 costeffective 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 musthave guide for frequent reference.  
005  20170126100842.0  
001  61272  
003  UOWD  
942  _cREGULAR  
999 
_c27245 _d27245 