Available: macOS, Windows, Android, Tablet

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.

Product Details :

Genre Book : Psychology
Author Book : Jacob Cohen
Publisher : Routledge
Release Book : 2013-05-13
Download Book : 567 Pages
ISBN-10 : 9781134742776


Available: macOS, Windows, Android, Tablet

This is the first book to demonstrate the application of power analysis to the newer more advanced statistical techniques that are increasingly used in the social and behavioral sciences. Both basic and advanced designs are covered. Readers are shown how to apply power analysis to techniques such as hierarchical linear modeling, meta-analysis, and structural equation modeling. Each chapter opens with a review of the statistical procedure and then proceeds to derive the power functions. This is followed by examples that demonstrate how to produce power tables and charts. The book clearly shows how to calculate power by providing open code for every design and procedure in R, SAS, and SPSS. Readers can verify the power computation using the computer programs on the book's website. There is a growing requirement to include power analysis to justify sample sizes in grant proposals. Most chapters are self-standing and can be read in any order without much disruption.This book will help readers do just that. Sample computer code in R, SPSS, and SAS at www.routledge.com/9781848729810 are written to tabulate power values and produce power curves that can be included in a grant proposal. Organized according to various techniques, chapters 1 – 3 introduce the basics of statistical power and sample size issues including the historical origin, hypothesis testing, and the use of statistical power in t tests and confidence intervals. Chapters 4 - 6 cover common statistical procedures -- analysis of variance, linear regression (both simple regression and multiple regression), correlation, analysis of covariance, and multivariate analysis. Chapters 7 - 11 review the new statistical procedures -- multi-level models, meta-analysis, structural equation models, and longitudinal studies. The appendixes contain a tutorial about R and show the statistical theory of power analysis. Intended as a supplement for graduate courses on quantitative methods, multivariate statistics, hierarchical linear modeling (HLM) and/or multilevel modeling and SEM taught in psychology, education, human development, nursing, and social and life sciences, this is the first text on statistical power for advanced procedures. Researchers and practitioners in these fields also appreciate the book‘s unique coverage of the use of statistical power analysis to determine sample size in planning a study. A prerequisite of basic through multivariate statistics is assumed.

Product Details :

Genre Book : Psychology
Author Book : Xiaofeng Steven Liu
Publisher : Routledge
Release Book : 2013-11-07
Download Book : 386 Pages
ISBN-10 : 9781136464188


Available: macOS, Windows, Android, Tablet

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.

Product Details :

Genre Book : Psychology
Author Book : Christopher L. Aberson
Publisher : Routledge
Release Book : 2019-01-24
Download Book : 194 Pages
ISBN-10 : 9781351695060


Available: macOS, Windows, Android, Tablet

Product Details :

Genre Book :
Author Book :
Publisher :
Release Book : 1977
Download Book : Pages
ISBN-10 : OCLC:926950143


Available: macOS, Windows, Android, Tablet

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.

Product Details :

Genre Book : Social Science
Author Book : Helena Chmura Kraemer
Publisher : SAGE Publications
Release Book : 2015-01-28
Download Book : 160 Pages
ISBN-10 : 9781483319537


Available: macOS, Windows, Android, Tablet

A jargon-free introduction for students and researchers looking to interpret the practical significance of their results.

Product Details :

Genre Book : Business & Economics
Author Book : Paul D. Ellis
Publisher : Cambridge University Press
Release Book : 2010-07-01
Download Book : 173 Pages
ISBN-10 : 9780521142465


Available: macOS, Windows, Android, Tablet

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.

Product Details :

Genre Book : Science
Author Book : R. Barker Bausell
Publisher : Cambridge University Press
Release Book : 2002-09-19
Download Book : Pages
ISBN-10 : 1139441663


Available: macOS, Windows, Android, Tablet

This textbook emphasizes the conceptual basis for statistical analysis using realistic problems to introduce the various statistics discussed.

Product Details :

Genre Book : Psychology
Author Book : Harold O. Kiess
Publisher : Cambridge University Press
Release Book : 2019-12-19
Download Book : 596 Pages
ISBN-10 : 9781108733014


Available: macOS, Windows, Android, Tablet

This book presents a simple and general method for conducting statistical power analysis based on the widely used F statistic. The book illustrates how these analyses work and how they can be applied to problems of studying design, to evaluate others' research, and to choose the appropriate criterion for defining "statistically significant" outcomes. Statistical Power Analysis examines the four major applications of power analysis, concentrating on how to determine: *the sample size needed to achieve desired levels of power; *the level of power that is needed in a study; *the size of effect that can be reliably detected by a study; and *sensible criteria for statistical significance. Highlights of the second edition include: a CD with an easy-to-use statistical power analysis program; a new chapter on power analysis in multi-factor ANOVA, including repeated-measures designs; and a new One-Stop PV Table to serve as a quick reference guide. The book discusses the application of power analysis to both traditional null hypothesis tests and to minimum-effect testing. It demonstrates how the same basic model applies to both types of testing and explains how some relatively simple procedures allow researchers to ask a series of important questions about their research. Drawing from the behavioral and social sciences, the authors present the material in a nontechnical way so that readers with little expertise in statistical analysis can quickly obtain the values needed to carry out the power analysis. Ideal for students and researchers of statistical and research methodology in the social, behavioral, and health sciences who want to know how to apply methods of power analysis to their research.

Product Details :

Genre Book : Psychology
Author Book : Kevin R. Murphy
Publisher : Routledge
Release Book : 2003-08-01
Download Book : 128 Pages
ISBN-10 : 9781135625320


Available: macOS, Windows, Android, Tablet

The engaging Third Edition of Statistics for the Behavioral Sciences shows students that statistics can be understandable, interesting, and relevant to their daily lives. Using a conversational tone, award-winning teacher and author Gregory J. Privitera speaks to the reader as researcher when covering statistical theory, computation, and application. Robust pedagogy allows students to continually check their comprehension and hone their skills when working through carefully developed problems and exercises that include current research and seamless integration of SPSS. This edition will not only prepare students to be lab-ready, but also give them the confidence to use statistics to summarize data and make decisions about behavior.

Product Details :

Genre Book : Psychology
Author Book : Gregory J. Privitera
Publisher : SAGE Publications
Release Book : 2017-06-24
Download Book : 816 Pages
ISBN-10 : 9781506386232