Psychological Testing and Assessment is a comprehensive introduction to theory, research and best practice for psychological testing and assessment in an Australian context. The text examines key principles, provides varied examples, discusses local issues and addresses the Australian Psychological Society's Code of Ethics. Covering the latest in theory and research, it provides students with a practical and accessible guide to the dynamic and evolving field of psychological assessment. The third edition has been updated to incorporate the latest theory and research, and now has expanded coverage of controversies, cross-cultural assessment and

Psychological Testing and Assessment

Science & Math

Myors, Brett

O'Gorman, John

Shum, David

Creed, Peter

Behavioral Sciences

Oxford University Press

Psychological Testing and Assessment provides students with a comprehensive introduction to the theory, research, and best practice in the field of psychological testing and assessment. It provides a thorough grounding in the basic psychometric theory underlying contemporary test development and highlights a number of specialist fields of psychology in which psychological testing and assessment is used extensively. The second edition has been updated to incorporate the latest theory and research, and now has expanded coverage of scoring, item response theory and factor analysis. It includes new chapters on 'Intelligence' and 'Personality and Individual Difference', and new pedagogical features-learning objectives, key terms and practitioner profiles- to enhance student learning.

Psychological Testing and Assessment 2e

Health, Fitness & Dieting

Psychology & Counseling

Psychological Testing and Assessment provides students with a comprehensive introduction to the theory, research, and best practice in the field of psychological testing and assessment. It provides a thorough grounding in the basic psychometric theory underlying contemporary test development and highlights a number of specialist fields of psychology in which psychological testing and assessment is used extensively. The second edition has been updated to incorporate the latest theory and research, and now has expanded coverage of scoring, item response theory and factor analysis. It includes new chapters on 'Intelligence' and 'Personality and Individual Difference', and new pedagogical features-learning objectives, key terms and practitioner profiles- to enhance student learning.

Noted for its accessible approach, this bestseller applies power analysis to both null hypothesis and minimum-effect testing using the same basic model. Through the use of a few relatively simple procedures and examples from the behavioral and social sciences, the authors show readers with little expertise in statistical analysis how to quickly 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 understand problems of study design, to evaluate research, and 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 that is based on the F statistic.  Statistical Power Analysis 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 Sensible criteria for statistical significance. The third edition features:   Re-designed, user-friendly software at www.psypress.com/statistical-power-analysis that allows users to perform all of the book's analyses on a wider range of tests and conduct significance tests, power analyses, and assessments of N and alpha A new chapter on Complex ANOVA Designs that demonstrates the use of power analysis in split-plot and randomized block factorial designs New boxed sections that provide examples of power analysis in action and unique issues that arise when applying power analyses Expanded coverage of minimum-effect tests, the fundamentals of power analysis and the application of these concepts to correlational studies.  Ideal for students and researchers in the social, behavioral, and health sciences, business, and education, this valuable resource helps readers apply methods of power analysis to their research. PV and F tables serve as a quick reference. More details - plus a link to download the One Stop F Calculator - can be found at http://www.psypress.com/statistical-power-analysis/ .

Statistical Power Analysis: A Simple and General Model for Traditional and Modern Hypothesis Tests, Third Edition

Murphy, Kevin R.

Wolach, Allen

Routledge

Statistical Power Analysis: A Simple and General Model for Traditional and Modern Hypothesis Tests

Power analysis is an increasingly important concern in research, particularly in the social and behavioural sciences, where low power is a well-recognized problem. Power analysis helps researchers plan and evaluate studies and helps consumers of research make sense of what they read. This book presents a simple and general method for conducting power analysis in a wide range of studies. This book extends power analysis beyond the traditional, often criticized, hypothesis tests to modern testing methods. These tests query whether the effects of treatments, interventions etc, are sufficiently large to warrant attention, rather than asking whether any effect, no matter how small, exists.

Murphy, Kevin

Reference

This book presents a simple and general method for conducting power analysis in a wide range of studies. It is the first book to extend power analysis beyond the traditional, often criticized, hypothesis tests which query whether the effects of treatments, interventions, etc. are sufficiently large to warrant attention, rather than asking whether any effect, no matter how small, exists.

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.

Statistical Power Analysis

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. 
Brett Myors and Kevin Murphy apply the latest approaches of power analysis to both null hypothesis and minimum-effect testing using the same basic unified model. This book starts with a review of the key concepts that underly statistical power. It goes on to show how to perform and interpret power analyses, and the ways to use them to diagnose and plan research. We discuss the uses of power analysis in correlation and regression, in the analysis of experimental data, and in multilevel studies. This edition includes new material and new power software. The programs used for power analysis in this book have been re-written in R, a language that is widely used and freely available. The authors include R codes for all programs, and we have also provided a web-based app that allows users who are not comfortable with R to perform a wide range of analyses using any computer or device that provides access to the web. 
Statistical Power Analysis helps readers design studies, diagnose existing studies, and understand why hypothesis tests come out the way they do. The fifth edition includes updates to all chapters to accommodate the most current scholarship, as well as recalculations of all examples. This book is intended for graduate students and faculty in the behavioral and social sciences; researchers in other fields will find the concepts and methods laid out here valuable and applicable to studies in many domains.

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.Brett Myors and Kevin Murphy apply the latest approaches of power analysis to both null hypothesis and minimum-effect testing using the same basic unified model. The book starts with a review of the key concepts that underly statistical power. It goes on to show how to perform and interpret power analyses, and the ways to use them to diagnose and plan research. We discuss the uses of power analysis in correlation and regression, in the analysis of experimental data, and in multilevel studies. This edition includes new material and new power software. The programs used for power analysis in this book have been re-written in R, a language that is widely used and freely available. The authors include R codes for all programs, and we have also provided a web-based app that allows users who are not comfortable with R to perform a wide range of analyses using any computer or device that provides access to the web.Statistical Power Analysis helps readers design studies, diagnose existing studies, and understand why hypothesis tests come out the way they do. The fifth edition includes updates to all chapters to accommodate the most current scholarship, as well as recalculations of all examples. The book is intended for graduate students and faculty in the behavioral and social sciences, researchers in other fields will find the concepts and methods laid out here valuable and applicable to studies in many domains.

See the best price to sell, buy, or rent books by Myors, Brett. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Myors, Brett

See the best price to sell, buy, or rent books by Myors, Brett. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Psychological Testing and Assessment

Psychological Testing and Assessment 2e

Psychological Testing and Assessment

Statistical Power Analysis: A Simple and General Model for Traditional and Modern Hypothesis Tests, Third Edition

Statistical Power Analysis: A Simple and General Model for Traditional and Modern Hypothesis Tests

Statistical Power Analysis: A Simple and General Model for Traditional and Modern Hypothesis Tests

Statistical Power Analysis: A Simple and General Model for Traditional and Modern Hypothesis Tests

Statistical Power Analysis: A Simple and General Model for Traditional and Modern Hypothesis Tests

Statistical Power Analysis

Statistical Power Analysis