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Beyond significance testing reforming data analysis methods in behavioral research

"This book is a follow-up to the report of Leland Wilkinson and the Task Force on Statistical Inference (TFSI; 1999) of the American Psychological Association (APA) and the fifth edition of the Publication Manual of the American Psychological Association (APA, 2001). The goals of this book are to (a) review the now-large literature across many different disciplines about shortcomings of statistical tests; (b) explain why these criticisms have sufficient merit to justify change in data-analysis practices; (c) help readers acquire new skills concerning effect size estimation and interval estimation for effect sizes; and (d) review additional alternatives to statistical tests, including bootstrapping and Bayesian statistics. An additional goal is related to the criticism that the most recent Publication Manual calls for change in data analysis practices but does not give examples. Numerous examples with actual research results are presented throughout this volume. This book is written for researchers and students in psychology and related areas who may not have strong quantitative backgrounds. It assumes that the reader has had at least one undergraduate-level course in behavioral science statistics. Each substantive chapter begins with a review of fundamental statistical issues but does not get into the minutia of statistical theory. Exercises with answers for the chapters are also available on the Web site"--Preface. (PsycINFO Database Record (c) 2005 APA, all rights reserved).

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  • ""This book is a follow-up to the report of Leland Wilkinson and the Task Force on Statistical Inference (TFSI; 1999) of the American Psychological Association (APA) and the fifth edition of the Publication Manual of the American Psychological Association (APA, 2001). The goals of this book are to (a) review the now-large literature across many different disciplines about shortcomings of statistical tests; (b) explain why these criticisms have sufficient merit to justify change in data-analysis practices; (c) help readers acquire new skills concerning effect size estimation and interval estimation for effect sizes; and (d) review additional alternatives to statistical tests, including bootstrapping and Bayesian statistics. An additional goal is related to the criticism that the most recent Publication Manual calls for change in data analysis practices but does not give examples. Numerous examples with actual research results are presented throughout this volume. This book is written for researchers and students in psychology and related areas who may not have strong quantitative backgrounds. It assumes that the reader has had at least one undergraduate-level course in behavioral science statistics. Each substantive chapter begins with a review of fundamental statistical issues but does not get into the minutia of statistical theory. Exercises with answers for the chapters are also available on the Web site"--Preface. (PsycINFO Database Record (c) 2005 APA, all rights reserved)."
  • ""This book is a follow-up to the report of Leland Wilkinson and the Task Force on Statistical Inference (TFSI; 1999) of the American Psychological Association (APA) and the fifth edition of the Publication Manual of the American Psychological Association (APA, 2001). The goals of this book are to (a) review the now-large literature across many different disciplines about shortcomings of statistical tests; (b) explain why these criticisms have sufficient merit to justify change in data-analysis practices; (c) help readers acquire new skills concerning effect size estimation and interval estimation for effect sizes; and (d) review additional alternatives to statistical tests, including bootstrapping and Bayesian statistics. An additional goal is related to the criticism that the most recent Publication Manual calls for change in data analysis practices but does not give examples. Numerous examples with actual research results are presented throughout this volume. This book is written for researchers and students in psychology and related areas who may not have strong quantitative backgrounds. It assumes that the reader has had at least one undergraduate-level course in behavioral science statistics. Each substantive chapter begins with a review of fundamental statistical issues but does not get into the minutia of statistical theory. Exercises with answers for the chapters are also available on the Web site"--Preface. (PsycINFO Database Record (c) 2005 APA, all rights reserved)."@en
  • "Practices of data analysis in psychology and related disciplines are changing. This is evident in the longstanding controversy about statistical tests in the behavioral sciences and the increasing number of journals requiring effect size information. This book offers integrative and clear presentations about the limitations of statistical tests and reviews alternative methods of data analysis, such as effect size estimation (at both the group and case levels) and interval estimation (i.e., confidence intervals). Written in a clear and accessible style, it is intended for applied researchers and students who may not have strong quantitative backgrounds. Readers will learn how to measure effect size on continuous or dichotomous outcomes in comparative studies with independent or dependent samples. They will also learn how to calculate and correctly interpret confidence intervals for effect sizes. Numerous research examples from a wide range of areas illustrate the application of these principles and how to estimate substantive significance instead of just statistical significance. Additional alternatives to statistical tests are also described, including meta-analysis, resampling techniques like bootstrapping, and Bayesian estimation."
  • ""This book is a followup to the report of Leland Wilkinson and the Task Force on Statistical Inference (TFSI; 1999) of the American Psychological Association (APA) and the fifth edition of the Publication Manual of the American Psychological Association (APA, 2001). The goals of this book are to (a) review the nowlarge literature across many different disciplines about shortcomings of statistical tests; (b) explain why these criticisms have sufficient merit to justify change in dataanalysis practices; (c) help readers acquire new skills concerning effect size estimation and interval estimation for effect sizes; and (d) review additional alternatives to statistical tests, including bootstrapping and Bayesian statistics. An additional goal is related to the criticism that the most recent Publication Manual calls for change in data analysis practices but does not give examples. Numerous examples with actual research results are presented throughout this volume. This book is written for researchers and students in psychology and related areas who may not have strong quantitative backgrounds. It assumes that the reader has had at least one undergraduatelevel course in behavioral science statistics. Each substantive chapter begins with a review of fundamental statistical issues but does not get into the minutia of statistical theory. Exercises with answers for the chapters are also available on the Web site"Preface. (PsycINFO Database Record (c) 2005 APA, all rights reserved)"

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  • "Beyond significance testing reforming data analysis methods in behavioral research"
  • "Beyond significance testing reforming data analysis methods in behavioral research"@en
  • "Beyond significance testing: reforming data analysis methods in behavioral research"
  • "Beyond significance testing : reforming data analysis methods in behavioral research"@en
  • "Beyond significance testing : reforming data analysis methods in behavioral research"