Full Product Details
Author: Bruce Thompson
Publisher: Guilford Publications
Imprint: Guilford Publications
Dimensions:
Width: 17.80cm
, Height: 3.00cm
, Length: 25.40cm
Weight: 0.826kg
ISBN: 9781593858407
ISBN 10: 159385840
Pages: 457
Publication Date: 10 April 2008
Audience:
College/higher education
,
Professional and scholarly
,
Undergraduate
,
Postgraduate, Research & Scholarly
Format: Paperback
Publisher's Status: Out of Print
Availability: In Print
Limited stock is available. It will be ordered for you and shipped pending supplier's limited stock.
Reviews
I found the book very useful as an instructor, and the students really enjoyed the straightforward approach to explaining statistical methods. The accessible style made it easy for students to grasp and apply statistical concepts. - Tammy Kolbe, Department of Education Policy and Leadership, University of Maryland-College Park, USA This is a very useful book that graduate students should read to help them understand and use their statistical tools. And not just grad students could stand to read it-some of the issues raised, such as statistical significance and size effects, plague the vast majority of social research. As editor of Social Problems, I very frequently came across sophisticated papers that simply reported the statistical significance of findings without saying a word about the magnitude of the effect purportedly being examined, or the importance or impact of the phenomenon under discussion. - James A. Holstein, Department of Social and Cultural Sciences, Marquette University, USA There are a lot of quite simple introductory statistics texts out there ('too cold!'), and a large number of really comprehensive ones, perhaps best digested over two semesters ('too hot!'). However, I found Thompson's treatment and coverage to be 'just right.' I especially appreciated his conservatism in using and interpreting statistics. - Bruce Thyer, College of Social Work, Florida State University, USA An important contribution to improving data analysis and interpretation methods in the social sciences...The Statistical Significance chapter is excellent and one of the crown jewels of this book. This is the kind of understanding of significance testing that we should seek to impart to students and researchers. - Frank L. Schmidt, College of Business, University of Iowa, USA This is an outstanding text that represents a new era in the learning and reporting of statistics in the behavioral sciences. Thompson focuses on analytic thinking rather than mathematical number-crunching, unlike others that emphasize calculations at the expense of critical thinking...This book is at the leading edge of methodological advances regarding the interpretation of research outcomes, and will serve a critical role in the continued evolution of the behavioral statistics field. - Robin K. Henson, Department of Technology and Cognition, University of North Texas, USA
"""I found the book very useful as an instructor, and the students really enjoyed the straightforward approach to explaining statistical methods. The accessible style made it easy for students to grasp and apply statistical concepts."" - Tammy Kolbe, Department of Education Policy and Leadership, University of Maryland--College Park, USA ""This is a very useful book that graduate students should read to help them understand and use their statistical tools. And not just grad students could stand to read it-some of the issues raised, such as statistical significance and size effects, plague the vast majority of social research. As editor of Social Problems, I very frequently came across sophisticated papers that simply reported the statistical significance of findings without saying a word about the magnitude of the effect purportedly being examined, or the importance or impact of the phenomenon under discussion."" - ""James A. Holstein, Department of Social and Cultural Sciences, Marquette University, USA ""There are a lot of quite simple introductory statistics texts out there ('too cold!'), and a large number of really comprehensive ones, perhaps best digested over two semesters ('too hot!'). However, I found Thompson's treatment and coverage to be 'just right.' I especially appreciated his conservatism in using and interpreting statistics."" - ""Bruce Thyer, College of Social Work, Florida State University, USA ""An important contribution to improving data analysis and interpretation methods in the social sciences...The Statistical Significance chapter is excellent and one of the crown jewels of this book. This is the kind of understanding of significance testing that we should seek to impart to students and researchers."" - ""Frank L. Schmidt, College of Business, University of Iowa, USA ""This is an outstanding text that represents a new era in the learning and reporting of statistics in the behavioral sciences. Thompson focuses on analytic thinking rather than mathematical number-crunching, unlike others that emphasize calculations at the expense of critical thinking...This book is at the leading edge of methodological advances regarding the interpretation of research outcomes, and will serve a critical role in the continued evolution of the behavioral statistics field."" - ""Robin K. Henson, Department of Technology and Cognition, University of North Texas, USA"
I found the book very useful as an instructor, and the students really enjoyed the straightforward approach to explaining statistical methods. The accessible style made it easy for students to grasp and apply statistical concepts. - Tammy Kolbe, Department of Education Policy and Leadership, University of Maryland--College Park, USA This is a very useful book that graduate students should read to help them understand and use their statistical tools. And not just grad students could stand to read it-some of the issues raised, such as statistical significance and size effects, plague the vast majority of social research. As editor of Social Problems, I very frequently came across sophisticated papers that simply reported the statistical significance of findings without saying a word about the magnitude of the effect purportedly being examined, or the importance or impact of the phenomenon under discussion. - James A. Holstein, Department of Social and Cultural Sciences, Marquette University, USA There are a lot of quite simple introductory statistics texts out there ('too cold!'), and a large number of really comprehensive ones, perhaps best digested over two semesters ('too hot!'). However, I found Thompson's treatment and coverage to be 'just right.' I especially appreciated his conservatism in using and interpreting statistics. - Bruce Thyer, College of Social Work, Florida State University, USA An important contribution to improving data analysis and interpretation methods in the social sciences...The Statistical Significance chapter is excellent and one of the crown jewels of this book. This is the kind of understanding of significance testing that we should seek to impart to students and researchers. - Frank L. Schmidt, College of Business, University of Iowa, USA This is an outstanding text that represents a new era in the learning and reporting of statistics in the behavioral sciences. Thompson focuses on analytic thinking rather than mathematical number-crunching, unlike others that emphasize calculations at the expense of critical thinking...This book is at the leading edge of methodological advances regarding the interpretation of research outcomes, and will serve a critical role in the continued evolution of the behavioral statistics field. - Robin K. Henson, Department of Technology and Cognition, University of North Texas, USA
Author Information
Bruce Thompson is Distinguished Professor of Educational Psychology and Distinguished Professor of Library Sciences, Texas A&M University, and Adjunct Professor of Family and Community Medicine, Baylor College of Medicine, Houston. He is the coeditor of the teaching, learning, and human development section of the American Educational Research Journal and past editor of Educational and Psychological Measurement, the series Advances in Social Science Methodology, and two other journals. He is the author or editor of 10 books, has written over 175 research articles, and has made contributions that have been influential in promoting greater emphasis on effect size reporting and interpretation, and improved understanding of score reliability.
