000			01566cam a2200193 4500
001			0803929498
008			090112t1987 xxu||||| |||| 00| 0 eng d
020			_a0803929498
100			_aKraemer, Helena Chmura
245		0	_aHow many subjects?: statistical power analysis in research
260			_aNewbury Park _bSAGE Publications _c1987
300			_a120; ill.,bibl.; BookFind
505			_aCHAPTER 1 Introduction CHAPTER 2 General Concepts CHAPTER 3 The Pivotal Case Intraclass Correlation CHAPTER 4 Equality of News Z- and T- tests, Balanced ANOVA CHAPTER 5 Correlation Coefficients CHAPTER 6 Linear Regression CHAPTER 7 Homogeneity of Variance Tests CHAPTER 8 Binomial Tests CHAPTER 9 Contingency Table Analysis CHAPTER 10 Conclusions.
520			_aHardback
520			_aHow Many Subjects? is a practical guide to sample size calculations and general principles of cost-effective research. It introduces a simple technique of statistical power analysis which allows researchers to compute approximate sample sizes and power for a wide variety of research designs. Because the same technique is used with only slight modifications for different statistical tests, researchers can easily compare the sample sizes required by different designs and tests to make cost-effective decisions in planning a study. These comparisons, emphasized throughout the book, demonstrate important principles of design, measurement and analysis that are rarely discussed in courses or textbooks.
650			_aSTATISTICS, methods
700			_aThiemann, Sue
999			_c80056 _d80056