How 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.
With 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.
The public is bombarded daily with reports about risk factors, many conflicting with each other, others accepted as "scientific truth" for awhile, then scientifically disproved, yet others questionable that later prove to be true. Physicians are faced with trying to make sense of those conflicting or questionable results in the scientific literature in order to guide their patients to the best possible decisions. The situation is not much easier for scientists who may waste years of their productive life, and considerable resources, basing their research efforts on what prove to be misleading earlier research findings. What this book does is to present, in non "academese" and with many examples from the general media and scientific journals, a guide to a critical reading of research reports, which, in turn, serves as a guide to researchers as to which approaches are likely to be regarded with raised eyebrows, and what they need to do to generate results that will be taken seriously. This stimulating and helpful book was written for informed consumers and physicians as well as for scientists evaluating the risk research literature or contemplating projects on risk research.
With 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.
High Quality Psychotherapy Research is for all psychotherapy investigators who wish to learn state-of-the-art psychotherapy research methods. Organized developmentally, the book explains the conceptualization of the trial, discusses the pilot study and the large scale study, and concludes with instructions for designing a multi-site trial.
High Quality Psychotherapy Research is for all psychotherapy investigators who wish to learn state-of-the-art psychotherapy research methods. Organized developmentally, the book explains the conceptualization of the trial, discusses the pilot study and the large scale study, and concludes with instructions for designing a multi-site trial.
The public is bombarded daily with reports about risk factors, many conflicting with each other, others accepted as "scientific truth" for awhile, then scientifically disproved, yet others questionable that later prove to be true. Physicians are faced with trying to make sense of those conflicting or questionable results in the scientific literature in order to guide their patients to the best possible decisions. The situation is not much easier for scientists who may waste years of their productive life, and considerable resources, basing their research efforts on what prove to be misleading earlier research findings. What this book does is to present, in non "academese" and with many examples from the general media and scientific journals, a guide to a critical reading of research reports, which, in turn, serves as a guide to researchers as to which approaches are likely to be regarded with raised eyebrows, and what they need to do to generate results that will be taken seriously. This stimulating and helpful book was written for informed consumers and physicians as well as for scientists evaluating the risk research literature or contemplating projects on risk research.
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