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"Statistical Power Analysis explains the key concepts in statistical power analysis and illustrates their application in both tests of traditional null hypotheses (that treatments or interventions have no effect in the population) and in tests of the minimum-effect hypotheses (that the population effects of treatments or interventions are so small that they can be safely treated as unimportant). It provides readers with the tools to understand and perform power analyses for virtually all the statistical methods used in the social and behavioral sciences"-- Provided by publisher.
Statistical power analysis. --- East Asia --- Economic policy
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This book is a simple introduction for nonstatisticians to power analysis and sample size determination. It clearly illustrates why sample sizes need to be sufficiently large, so that the experiment has good power properties and hence low type II error rates. The authors introduce a simple technique of statistical power analysis that 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 some important principles of design, measurement, and analysis that are not given sufficient emphasis in other texts.
Research --- Statistical power analysis. --- Statistical methods.
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Statistics --- Statistique. --- Statistical hypothesis testing. --- Statistical power analysis.
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Applied Power Analysis for the Behavioral Sciences is a practical "how-to" guide to conducting statistical power analyses for psychology and related fields. The book provides a guide to conducting analyses that is appropriate for researchers and students, including those with limited quantitative backgrounds. With practical use in mind, the text provides detailed coverage of topics such as how to estimate expected effect sizes and power analyses for complex designs. The topical coverage of the text, an applied approach, in-depth coverage of popular statistical procedures, and a focus on conducting analyses using R make the text a unique contribution to the power literature. To facilitate application and usability, the text includes ready-to-use R code developed for the text. An accompanying R package called pwr2ppl (available at https://github.com/chrisaberson/pwr2ppl) provides tools for conducting power analyses across each topic covered in the text.
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Power analysis is an essential tool for determining whether a statistically significant result can be expected in a scientific experiment prior to the experiment being performed. Many funding agencies and institutional review boards now require power analyses to be carried out before they will approve experiments, particularly where they involve the use of human subjects. This comprehensive, yet accessible, book provides practising researchers with step-by-step instructions for conducting power/sample size analyses, assuming only basic prior knowledge of summary statistics and the normal distribution. It contains a unified approach to statistical power analysis, with numerous easy-to-use tables to guide the reader without the need for further calculations or statistical expertise. This will be an indispensable text for researchers and graduates in the medical and biological sciences needing to apply power analysis in the design of their experiments.
Medicine --- Statistical power analysis. --- Power analysis (Statistics) --- Statistical hypothesis testing --- Health Workforce --- Research --- Statistical methods.
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"This will be the first book to demonstrate the application of power analysis to the newer more advanced techniques such as hierarchical linear modeling, meta-analysis, and structural equation modelling that are increasingly popular in behavioral and social science research"--
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Quantitative methods in social research --- Mathematical statistics --- Statistical power analysis --- -Statistical power analysis --- Power analysis (Statistics) --- Selectie. Steekproeven omvang --(sociaal onderzoek) --- Statistical power analysis. --- 303.5 Selectie. Steekproeven omvang --(sociaal onderzoek) --- Research --- Statistical methods. --- #SBIB:303H510 --- 303.5 --- Statistical hypothesis testing --- Statistical methods --- Methoden sociale wetenschappen: statistische technieken, algemeen --- research --- Recherche --- Méthodes statistiques --- Research - Statistical methods
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Statistical Power Analysis is a nontechnical guide to power analysis in research planning that provides users of applied statistics with the tools they need for more effective analysis. The Second Edition includes: * a chapter covering power analysis in set correlation and multivariate methods; * a chapter considering effect size, psychometric reliability, and the efficacy of ""qualifying"" dependent variables and; * expanded power and sample size tables for multiple regression/correlation.
Quantitative methods in social research --- Social sciences --- Probabilities --- Statistical power analysis --- Statistical methods --- #SBIB:303H520 --- -Statistical power analysis --- Power analysis (Statistics) --- Statistical hypothesis testing --- Behavioral sciences --- Human sciences --- Sciences, Social --- Social science --- Social studies --- Civilization --- Probability --- Statistical inference --- Combinations --- Mathematics --- Chance --- Least squares --- Mathematical statistics --- Risk --- Methoden sociale wetenschappen: techniek van de analyse, algemeen --- Probabilities. --- Statistical power analysis. --- Methoden en technieken --- Statistical methods. --- statistiek --- statistiek. --- Social sciences - Statistical methods
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Statistical hypothesis testing. --- Statistical power analysis. --- Methoden en technieken --- Statistiek. --- Mathematical statistics --- Tests d'hypothèses (Statistique) --- Statistiek (theorie) --- Onderzoek --- Tests (geneeskunde) --- Statistical hypothesis testing --- Statistical power analysis --- Power analysis (Statistics) --- Hypothesis testing (Statistics) --- Significance testing (Statistics) --- Statistical significance testing --- Testing statistical hypotheses --- Distribution (Probability theory) --- Hypothesis --- Test (geneeskunde) --- Ontwikkeling --- Leerlijn --- Onderzoek (wetenschap)
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