Introduction to power analysis : two-group studies /: two-group studies. (2017)

• Record Type: Book
• Further Information: Note: E.C. Hedberg.
• Authors: Hedberg, E. C (Eric Christopher), 1978-
• Contents: Chapter 1: The what, why, and when of power analysis; What is statistical power?; Why should power be a consideration when planning studies?; When should you perform a power analysis?; Significance and Effect 8; What do you need to know to perform a power analysis?; The structure of the volume; Chapter 2: Statistical distributions; Normally distributed random variables; The x 2 distribution; The t distribution; The F distribution; F to t; Chapter 3: General topics in hypothesis testing and power analysis when the population standard deviation is known: the case of two group means; The difference in means as a normally distributed random variable when the population standard deviation is known; Hypothesis testing with the difference between two group means when the population standard deviation is known; Power analysis for testing the difference between two group means when the population standard deviation is known; Scale-free parameters; Balance or unbalanced?; Types of power analyses; Power tables; Chapter 4: The difference between two groups in simple random samples where the population standard deviation must be estimated; Data generating process; Testing the difference between group means with samples; Power analysis for samples without covariates; Chapter 5: Using covariates when testing the difference in sample group means for balanced designs; Example analysis; Tests employing a covariate (ANCOVA) with balanced samples; Power analysis with a covariate correlated with the treatment indicator; Power analysis with a covariate uncorrelated to the treatment indicator; Chapter 6: Multilevel Models I: Testing the difference in group means in two-level cluster randomized trials; Example data; Understanding the single level test as an ANOVA; The hierarchical mixed model for cluster randomized trials; Power parameters for cluster randomized trials; Example analysis of a cluster randomized trial; Power analyses for cluster randomized trials; Chapter 7: Multilevel Models II: Testing the difference in group means in two-level multisite randomized trials; Power parameters for multisite randomized trials; Example analysis of a multisite randomized trial; Power analyses for multisite randomized trails; Chapter 8: Reasonable assumptions; Power analyses are arguments; Strategies for using the literature to make reasonable assumptions; Chapter 9: Writing about power; What to include; Examples; Chapter 10: Conclusions, further reading, and regression; The case study of comparing two groups; Further reading; Observational regression;
• Edition: 1st
• Publisher Details: Los Angeles : SAGE
• Publication Date: 2017
• Extent: 1 online resource
• Subjects: 519.56; Statistical power analysis; Mathematical statistics; Multivariate analysis
• Languages: English
• ISBNs: 9781506343143
• Notes: Note: Includes bibliographical references.; Note: Description based on CIP data; resource not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.