Introduction to Power Analysis: Two-Group Studies by E.C. Hedberg (English) Pape

The Nile on eBay   FREE SHIPPING UK WIDE   Introduction to Power Analysis by E.C. Hedberg

Introduction to Power Analysis: Two-Group Studies provides readers with the background, examples, and explanation they need to read technical papers and materials that include complex power analyses. This clear and accessible guide explains the components of test statistics and their sampling distributions, and author Eric Hedberg walks the reader through the simple and complex considerations of this research question.

FORMATPaperback LANGUAGEEnglish CONDITIONBrand New Author Biography

E. C. Hedberg is a Senior Associate at Abt Associates. Previously he was a Senior Research Scientist at NORC at the University of Chicago. He received his undergraduate degree in Sociology from the University of Minnesota and his PhD in Sociology from the University of Chicago. His work is primarily focused on estimating design parameters useful for power analysis, multilevel modeling, social capital theory, and evaluation research.

Table of Contents

Chapter 1: The what, why, and when of power analysisWhat is statistical power?Why should power be a consideration when planning studies?When should you perform a power analysis?Significance and Effect 8What do you need to know to perform a power analysis?The structure of the volumeChapter 2: Statistical distributionsNormally distributed random variablesThe x^2 distributionThe t distributionThe F distributionF to tChapter 3: General topics in hypothesis testing and power analysis when the population standard deviation is known: the case of two group meansThe difference in means as a normally distributed random variable when the population standard deviation is knownHypothesis testing with the difference between two group means when the population standard deviation is knownPower analysis for testing the difference between two group means when the population standard deviation is knownScale-free parametersBalance or unbalanced?Types of power analysesPower tablesChapter 4: The difference between two groups in simple random samples where the population standard deviation must be estimatedData generating processTesting the difference between group means with samplesPower analysis for samples without covariatesChapter 5: Using covariates when testing the difference in sample group means for balanced designsExample analysisTests employing a covariate (ANCOVA) with balanced samplesPower analysis with a covariate correlated with the treatment indicatorPower analysis with a covariate uncorrelated to the treatment indicatorChapter 6: Multilevel Models I: Testing the difference in group means in two-level cluster randomized trialsExample dataUnderstanding the single level test as an ANOVAThe hierarchical mixed model for cluster randomized trialsPower parameters for cluster randomized trialsExample analysis of a cluster randomized trialPower analyses for cluster randomized trialsChapter 7: Multilevel Models II: Testing the difference in group means in two-level multisite randomized trialsPower parameters for multisite randomized trialsExample analysis of a multisite randomized trialPower analyses for multisite randomized trailsChapter 8: Reasonable assumptionsPower analyses are argumentsStrategies for using the literature to make reasonable assumptionsChapter 9: Writing about powerWhat to includeExamplesChapter 10: Conclusions, further reading, and regressionThe case study of comparing two groupsFurther readingObservational regression

Review

"Introduction to Power Analysis provides detailed coverage of the topic in a succinct and concise way. Graduate students and others (including faculty who are also researchers) can benefit from this resource as it outlines the steps to conduct and evaluate power analysis to produce rigorous quantitative research in the social sciences, as well as why power analysis and effects are important to understand and apply in research." -- Stephanie Jones"Although there are a number of software programs available for power analysis, this volume teaches the reader how to employ power analysis using a popular software program (R) that can also be used to perform the desired statistical analyses on the data." -- Leslie Echols

Review Quote

"Introduction to Power Analysisprovides detailed coverage of the topic in a succinct and concise way. Graduate students and others (including faculty who are also researchers) can benefit from this resource as it outlines the steps to conduct and evaluate power analysis to produce rigorous quantitative research in the social sciences, as well as why power analysis and effects are important to understand and apply in research."

Details ISBN1506343120 Author E.C. Hedberg Publisher SAGE Publications Inc Series Quantitative Applications in the Social Sciences Year 2018 ISBN-10 1506343120 ISBN-13 9781506343129 Format Paperback Subtitle Two-Group Studies Country of Publication United States DEWEY 519.56 Pages 160 Imprint SAGE Publications Inc Place of Publication Thousand Oaks Publication Date 2018-02-28 Short Title Introduction to Power Analysis Language English Series Number 176 UK Release Date 2018-02-28 NZ Release Date 2018-02-28 US Release Date 2018-02-28 Birth 1964 Affiliation Indiana State University, USA Position Consultant in Anaesthesia and Pain Medicine Qualifications MA, PhD, DipPSA, Audience Tertiary & Higher Education AU Release Date 2018-02-27 We've got this

At The Nile, if you're looking for it, we've got it.With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love!

30 DAY RETURN POLICY

No questions asked, 30 day returns!

FREE DELIVERY

No matter where you are in the UK, delivery is free.

SECURE PAYMENT

Peace of mind by paying through PayPal and eBay Buyer Protection TheNile_Item_ID:134575174;