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Statistical power analysis, Myors, Brett (griffith University, Australia) Murphy, Kevin R.


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Автор: Myors, Brett (griffith University, Australia) Murphy, Kevin R.
Название:  Statistical power analysis
ISBN: 9781032283005
Издательство: Taylor&Francis
Классификация:








ISBN-10: 1032283009
Обложка/Формат: Paperback
Страницы: 224
Вес: 0.41 кг.
Дата издания: 03.03.2023
Язык: German
Издание: 5 ed
Иллюстрации: 12 line drawings, black and white; 12 illustrations, black and white
Размер: 228 x 153 x 16
Подзаголовок: A simple and general model for traditional and modern hypothesis tests, fifth edition
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Поставляется из: Европейский союз
Описание: 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
Дополнительное описание: 1. The Power of Statistical Tests 1.1 The Structure of Statistical Tests 1.1.1 Null Hypotheses vs. Nil Hypotheses1.1.2 Understanding Conditional Probability 1.2 The Mechanics of Power Analysis 1.2.1 Understanding Sampling 1.2.2 Distributions d vs. delta v



      Старое издание
Statistical Power Analysis

Автор: Myors, Brett
Название: Statistical Power Analysis
ISBN: 1848725884 ISBN-13(EAN): 9781848725881
Издательство: Taylor&Francis
Цена: 7961.00 р.
Наличие на складе: Поставка под заказ.


Statistical Rethinking

Автор: McElreath, Richard
Название: Statistical Rethinking
ISBN: 036713991X ISBN-13(EAN): 9780367139919
Издательство: Taylor&Francis
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Цена: 12554.00 р.
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Описание: Statistical Rethinking: A Bayesian Course with Examples in R and Stan, Second Edition builds knowledge/confidence in statistical modeling. Pushes readers to perform step-by-step calculations (usually automated.) Unique, computational approach.

Categorical and Nonparametric Data Analysis: Choosing the Best Statistical Technique

Автор: Nussbaum E. Michael
Название: Categorical and Nonparametric Data Analysis: Choosing the Best Statistical Technique
ISBN: 1848726031 ISBN-13(EAN): 9781848726031
Издательство: Taylor&Francis
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Цена: 27562.00 р.
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Описание:

Featuring in-depth coverage of categorical and nonparametric statistics, this book provides a conceptual framework for choosing the most appropriate type of test in various research scenarios. Class tested at the University of Nevada, the book's clear explanations of the underlying assumptions, computer simulations, and Exploring the Concept boxes help reduce reader anxiety. Problems inspired by actual studies provide meaningful illustrations of the techniques. The underlying assumptions of each test and the factors that impact validity and statistical power are reviewed so readers can explain their assumptions and how tests work in future publications. Numerous examples from psychology, education, and other social sciences demonstrate varied applications of the material. Basic statistics and probability are reviewed for those who need a refresher. Mathematical derivations are placed in optional appendices for those interested in this detailed coverage.

Highlights include the following:

  • Unique coverage of categorical and nonparametric statistics better prepares readers to select the best technique for their particular research project; however, some chapters can be omitted entirely if preferred.
  • Step-by-step examples of each test help readers see how the material is applied in a variety of disciplines.
  • Although the book can be used with any program, examples of how to use the tests in SPSS and Excel foster conceptual understanding.
  • Exploring the Concept boxes integrated throughout prompt students to review key material and draw links between the concepts to deepen understanding.
  • Problems in each chapter help readers test their understanding of the material.
  • Emphasis on selecting tests that maximize power helps readers avoid "marginally" significant results.
  • Website (www.routledge.com/9781138787827) features datasets for the book's examples and problems, and for the instructor, PowerPoint slides, sample syllabi, answers to the even-numbered problems, and Excel data sets for lecture purposes.

Intended for individual or combined graduate or advanced undergraduate courses in categorical and nonparametric data analysis, cross-classified data analysis, advanced statistics and/or quantitative techniques taught in psychology, education, human development, sociology, political science, and other social and life sciences, the book also appeals to researchers in these disciplines. The nonparametric chapters can be deleted if preferred. Prerequisites include knowledge of t tests and ANOVA.

Data Analysis

Автор: Wike
Название: Data Analysis
ISBN: 1138521965 ISBN-13(EAN): 9781138521964
Издательство: Taylor&Francis
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Цена: 22202.00 р.
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Описание: This book is intended for psychology majors and graduate students who are conducting experiments for the first time and are faced with the task of making sense out of their data

Age, Period and Cohort Effects

Название: Age, Period and Cohort Effects
ISBN: 0367174421 ISBN-13(EAN): 9780367174422
Издательство: Taylor&Francis
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Цена: 22202.00 р.
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Описание: This book is key reference material for researchers wanting to know how to appropriately deal with Age-Period-Cohort issues in their statistical modelling.

Doing Statistical Analysis

Автор: Thrane, Christer
Название: Doing Statistical Analysis
ISBN: 1032180307 ISBN-13(EAN): 9781032180304
Издательство: Taylor&Francis
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Цена: 22202.00 р.
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Statistical Analysis of Contingency Tables

Автор: Fagerland, Morten , Lydersen, Stian , Laake, Pet
Название: Statistical Analysis of Contingency Tables
ISBN: 0367495260 ISBN-13(EAN): 9780367495268
Издательство: Taylor&Francis
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Цена: 8879.00 р.
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Описание: This book is an invaluable tool for statistical inference in contingency tables. It covers effect size estimation, confidence intervals, and hypothesis tests for the binomial and the multinomial distributions, unpaired and paired 2x2 tables, rxc tables, ordered rx2 and 2xc tables, paired cxc tables, and stratified tables.

Analysis of Variance, Design, and Regression: Linear Modeling for Unbalanced Data, Second Edition

Автор: Christensen Ronald
Название: Analysis of Variance, Design, and Regression: Linear Modeling for Unbalanced Data, Second Edition
ISBN: 036773740X ISBN-13(EAN): 9780367737405
Издательство: Taylor&Francis
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Цена: 7501.00 р.
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Описание:

Analysis of Variance, Design, and Regression: Linear Modeling for Unbalanced Data, Second Edition presents linear structures for modeling data with an emphasis on how to incorporate specific ideas (hypotheses) about the structure of the data into a linear model for the data. The book carefully analyzes small data sets by using tools that are easily scaled to big data. The tools also apply to small relevant data sets that are extracted from big data.



New to the Second Edition





  • Reorganized to focus on unbalanced data


  • Reworked balanced analyses using methods for unbalanced data


  • Introductions to nonparametric and lasso regression


  • Introductions to general additive and generalized additive models


  • Examination of homologous factors


  • Unbalanced split plot analyses


  • Extensions to generalized linear models


  • R, Minitab(R), and SAS code on the author's website




The text can be used in a variety of courses, including a yearlong graduate course on regression and ANOVA or a data analysis course for upper-division statistics students and graduate students from other fields. It places a strong emphasis on interpreting the range of computer output encountered when dealing with unbalanced data.

Statistical Power Analysis with Missing Data

Автор: Davey, Adam
Название: Statistical Power Analysis with Missing Data
ISBN: 0805863702 ISBN-13(EAN): 9780805863703
Издательство: Taylor&Francis
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Цена: 7042.00 р.
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How Many Subjects?: Statistical Power Analysis in Research

Автор: Kraemer Helena C., Blasey Christine M.
Название: How Many Subjects?: Statistical Power Analysis in Research
ISBN: 1483319547 ISBN-13(EAN): 9781483319544
Издательство: Sage Publications
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Цена: 5859.00 р.
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Описание: Addressing a common question posed by researchers, this book introduces readers to power analysis and sample size determination and clearly illustrates why sample sizes need to be sufficiently large to give good power properties and low error rates.

Statistical Power Analysis for the Social and Behavioral Sciences

Автор: Liu, Xiaofeng Steven
Название: Statistical Power Analysis for the Social and Behavioral Sciences
ISBN: 1848729804 ISBN-13(EAN): 9781848729803
Издательство: Taylor&Francis
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Цена: 24499.00 р.
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Statistical Power Analysis for the Social and Behavioral Sciences

Автор: Liu, Xiaofeng Steven
Название: Statistical Power Analysis for the Social and Behavioral Sciences
ISBN: 1848729812 ISBN-13(EAN): 9781848729810
Издательство: Taylor&Francis
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Цена: 8573.00 р.
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Statistical power analysis with missing data

Автор: Davey, Adam Savla, Jyoti
Название: Statistical power analysis with missing data
ISBN: 0805863699 ISBN-13(EAN): 9780805863697
Издательство: Taylor&Francis
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Цена: 20671.00 р.
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Описание:

Statistical power analysis has revolutionized the ways in which we conduct and evaluate research. Similar developments in the statistical analysis of incomplete (missing) data are gaining more widespread applications. This volume brings statistical power and incomplete data together under a common framework, in a way that is readily accessible to those with only an introductory familiarity with structural equation modeling. It answers many practical questions such as:

  • How missing data affects the statistical power in a study
  • How much power is likely with different amounts and types of missing data
  • How to increase the power of a design in the presence of missing data, and
  • How to identify the most powerful design in the presence of missing data.

Points of Reflection encourage readers to stop and test their understanding of the material. Try Me sections test one's ability to apply the material. Troubleshooting Tips help to prevent commonly encountered problems. Exercises reinforce content and Additional Readings provide sources for delving more deeply into selected topics. Numerous examples demonstrate the book's application to a variety of disciplines. Each issue is accompanied by its potential strengths and shortcomings and examples using a variety of software packages (SAS, SPSS, Stata, LISREL, AMOS, and MPlus). Syntax is provided using a single software program to promote continuity but in each case, parallel syntax using the other packages is presented in appendixes. Routines, data sets, syntax files, and links to student versions of software packages are found at www.psypress.com/davey. The worked examples in Part 2 also provide results from a wider set of estimated models. These tables, and accompanying syntax, can be used to estimate statistical power or required sample size for similar problems under a wide range of conditions.

Class-tested at Temple, Virginia Tech, and Miami University of Ohio, this brief text is an ideal supplement for graduate courses in applied statistics, statistics II, intermediate or advanced statistics, experimental design, structural equation modeling, power analysis, and research methods taught in departments of psychology, human development, education, sociology, nursing, social work, gerontology and other social and health sciences. The book's applied approach will also appeal to researchers in these areas. Sections covering Fundamentals, Applications, and Extensions are designed to take readers from first steps to mastery.


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