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~ Free Ebook Best Practices in Quantitative Methods, by Jason W. Osborne

Free Ebook Best Practices in Quantitative Methods, by Jason W. Osborne

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Best Practices in Quantitative Methods, by Jason W. Osborne

Best Practices in Quantitative Methods, by Jason W. Osborne



Best Practices in Quantitative Methods, by Jason W. Osborne

Free Ebook Best Practices in Quantitative Methods, by Jason W. Osborne

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Best Practices in Quantitative Methods, by Jason W. Osborne

The contributors to Best Practices in Quantitative Methods envision quantitative methods in the 21st century, identify the best practices, and, where possible, demonstrate the superiority of their recommendations empirically.  Editor Jason W. Osborne designed this book with the goal of providing readers with the most effective, evidence-based, modern quantitative methods and quantitative data analysis across the social and behavioral sciences.

The text is divided into five main sections covering select best practices in Measurement, Research Design, Basics of Data Analysis, Quantitative Methods, and Advanced Quantitative Methods. Each chapter contains a current and expansive review of the literature, a case for best practices in terms of method, outcomes, inferences, etc., and broad-ranging examples along with any empirical evidence to show why certain techniques are better.

Key Features: 

  • Describes important implicit knowledge to readers: The chapters in this volume explain the important details of seemingly mundane aspects of quantitative research, making them accessible to readers and demonstrating why it is important to pay attention to these details.
  • Compares and contrasts analytic techniques: The book examines instances where there are multiple options for doing things, and make recommendations as to what is the "best" choice—or choices, as what is best often depends on the circumstances.
  • Offers new procedures to update and explicate traditional techniques: The featured scholars present and explain new options for data analysis, discussing the advantages and disadvantages of the new procedures in depth, describing how to perform them, and demonstrating their use.

Intended Audience:  Representing the vanguard of research methods for the 21st century, this book is an invaluable resource for graduate students and researchers who want a comprehensive, authoritative resource for practical and sound advice from leading experts in quantitative methods.

  • Sales Rank: #1861613 in eBooks
  • Published on: 2007-11-19
  • Released on: 2013-06-19
  • Format: Kindle eBook

About the Author

Jason W. Osborne is Associate Provost and Dean of the Graduate School at Clemson University in Clemson, South Carolina.  He is also Professor of Applied Statistics in the Department of Mathematical Sciences, with a secondary appointment in Public Health Science.  He teaches and publishes on "best practices" in quantitative and applied research methods. He has served as evaluator or consultant on projects in public education (K-12), instructional technology, higher education, nursing and health care, medicine and medical training, epidemiology, business and marketing, and jury selection in death penalty cases. He served as founding editor of Frontiers in Quantitative Psychology and Measurement and has been on the editorial boards of several other journals (such as Practical Assessment, Research, and Evaluation). Jason also publishes on identification with academics (how a student's self-concept impacts motivation to succeed in academics) and on issues related to social justice and diversity (such as Stereotype Threat). He is the very proud father of three, and holds the rank of third degree black belt in Songahm Tae Kwon Do. The rest is subject to change without notice (as Anne McCaffrey wrote in her bio).  

Most helpful customer reviews

1 of 1 people found the following review helpful.
A Must Have Resource for Statisticians
By James88
I bought this book for some research I was doing for my thesis, and when I started reading the book I was amazed at how many different practical issues are addressed. This has become by far my favorite statistical book and is easy to understand for statistical graduate students. I plan on using this book as a resource throughout my career as a data analyst.

See all 1 customer reviews...

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