02024cam a2200289 a 4500008004100000010001700041020001800058040002300076042000800099050002500107082001700132100002700149245010800176250001200284260005300296300003500349504006400384505029500448650003400743650003100777700002200808035002300830520085300853005001701706001000601723003000501729150211s2016 cau b 001 0 eng a 2014048058 a9781483319544 aDLCbengcDLCdDLC apcc00aQ180.55.S7bK73 201600a001.4/222231 aKraemer, Helena Chmura10aHow many subjects? :bstatistical power analysis in research /cHelena Chmura Kraemer; Christine Blasey a2nd ed. aLos Angeles :bSage Publicastions, Inc.,cc2016. axiii, 140 p. :bill. ;c23 cm. aIncludes bibliographical references (p. 129-131) and index.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. 0aResearchxStatistical methods 0aStatistical power analysis1 aBlasey, Christine a(IMchF)fol15580454 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.20170126100842.061272UOWD