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STATISTICAL POWER ANALYSIS A SIMPLE AND GENERAL MODEL FOR TRADITIONAL AND MODERN HYPOTHESIS TESTS 4TH ED (HB 2014)

STATISTICAL POWER ANALYSIS A SIMPLE AND GENERAL MODEL FOR TRADITIONAL AND MODERN HYPOTHESIS TESTS 4TH ED (HB 2014)

STATISTICAL POWER ANALYSIS A SIMPLE AND GENERAL MODEL FOR TRADITIONAL AND MODERN
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STATISTICAL POWER ANALYSIS A SIMPLE AND GENERAL MODEL FOR TRADITIONAL AND MODERN HYPOTHESIS TESTS 4TH ED (HB 2014) Hardback - 2014 - 4th Edition

by MURPHY K.R

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USA Edition . New. Brand New! Fast Delivery US Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
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  • Title STATISTICAL POWER ANALYSIS A SIMPLE AND GENERAL MODEL FOR TRADITIONAL AND MODERN HYPOTHESIS TESTS 4TH ED (HB 2014)
  • Author MURPHY K.R
  • Binding Hardback
  • Edition number 4th
  • Edition USA Edition
  • Condition New
  • Pages 230
  • Volumes 1
  • Language ENG
  • Publisher Routledge
  • Publication date 2014
  • Illustrated Yes
  • Bookseller's Inventory # CBS 9781848725874
  • ISBN 9781848725874 / 1848725876
  • Weight 1.05 lbs (0.48 kg)
  • Dimensions 9 x 6 x 0.9 in (22.86 x 15.24 x 2.29 cm)
  • Reading level 1530
  • Category Mathematics
  • Library of Congress subjects Statistical hypothesis testing, Statistical power analysis
  • Library of Congress Catalogue Number 2013042607
  • Dewey Decimal Code 519.56
  • Quantity available 1

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From the publisher

Noted for its accessible approach, this text applies the latest approaches of power analysis to both null hypothesis and minimum-effect testing using the same basic unified model. Through the use of a few simple procedures and examples, the authors show readers with little expertise in statistical analysis how to obtain the values needed to carry out the power analysis for their research. Illustrations of how these analyses work and how they can be used to choose the appropriate criterion for defining statistically significant outcomes are sprinkled throughout. The book presents a simple and general model for statistical power analysis based on the F statistic and reviews how to determine: the sample size needed to achieve desired levels of power; the level of power needed in a study; the size of effect that can be reliably detected by a study; and sensible criteria for statistical significance. The book helps readers design studies, diagnose existing studies, and understand why hypothesis tests come out out the way they do.

The fourth edition features:

-New Boxed Material sections provide examples of power analysis in action and discuss unique issues that arise as a result of applying power analyses in different designs.

-Many more worked examples help readers apply the concepts presented.

-Expanded coverage of power analysis for multifactor analysis of variance (ANOVA) to show readers how to analyze up to four factors with repeated measures on any or all of the factors.

-Re-designed and expanded web based One Stop F Calculator software and data sets that allow users to perform all of the book's analyses and conduct significance tests, power analyses, and assessments of N and alpha needed for traditional and minimum-effects tests.

-Easy to apply formulas for approximating the number of subjects required to reach adequate levels of power in a wide range of studies.

Intended as a supplement for graduate/advanced undergraduate courses in research methods or experimental design, intermediate, advanced, or multivariate statistics, statistics II, or psychometrics, taught in psychology, education, business, and other social and health sciences, researchers also appreciate the book's applied approach.

About the author

Kevin R. Murphy is an Affiliate Faculty member at Colorado State University.

Brett Myors is an Adjunct Professor of Psychology at Griffith University in Australia.

Allen Wolach is a retired Professor of Psychology from Illinois Institute of Psychology.

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