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Statistics as Principled Argument: Psychology Press & Routledge Classic Editions

Autor Robert P. Abelson
en Limba Engleză Paperback – 4 noi 2025
In Statistics as Principled Argument, first published in 1995, delved into the often-dismissed problems of interpreting quantitative data and then presented them in the context of a coherent story about one's research. This classic edition offers a new introduction situating Abelson's work through a contemporary lens.
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Specificații

ISBN-13: 9781041017271
ISBN-10: 1041017278
Pagini: 242
Dimensiuni: 152 x 229 x 14 mm
Greutate: 0.33 kg
Editura: Routledge
Seria Psychology Press & Routledge Classic Editions


Cuprins

Contents: Preface. Abelson's Laws. Making Claims With Statistics. Elementary Arguments and the Role of Chance. Magnitude of Effects. Styles of Rhetoric. On Suspecting Fishiness. Articulation of Results: Ticks and Buts. Generality of Effects. Interestingness of Argument. Credibility of Argument.

Recenzii

“Everyone doing research or planning to do research should read this book. You will be surprised at how much you will learn.”                                                                           - Psychological Science                                                                                                  
“The book itself is the best demonstration of the validity of Abelson’s thesis. It proves that statistical issues can be addressed in an articulate, interesting, entertaining and persuasive way.”                                                                                                                   - British Journal of Mathematical & Statistical Psychology
“Abelson has, in brief, produced a thought-provoking synthesis of the woes and promises of much modern  sychological statistics.”                                                            - British Journal of Psychology

"This book helps the advanced reader to think more capably about statistics and research. The reader will benefit from Abelson's expertise."
Association for Psychological Studies
"The book itself is the best demonstration of the validity of Abelson's thesis. It proves that statistical issues can be addressed in an articulate, interesting, entertaining and persuasive way."
British Journal of Mathematical & Statistical Psychology
"Abelson has, in brief, produced a thought-provoking synthesis of the woes and promises of much modern psychological statistics..."
British Journal of Psychology
"This volume is filled with the things that one is never taught but, one hopes, learns later....provides a useful capstone for anyone who concludes his/her formal training in statistics and is now simply a user....a pleasure."
Chance
"It is frequently of interest to hear about the statistical approaches and (sometimes) mistakes that investigators fall prey to in the field of psychology. The delightful book under review gives insights and cogent discussions of both approaches and mistakes."
Journal of Quality Technology
"Have you ever considered taking a statistics book to read at the beach or pool? Probably not. This delightful book may change all that....Instead of discussing the various statistical techniques and how to compute them, the author focuses on an overall perspective on what the investigator who uses statistical method is doing. His central theme is that statistical analysis is a tool for presenting a principled argument, meaning a credible argument that is truly based on data. ...Everyone doing research or planning to do research should read this book. You will be surprised at how much you will learn."

Psychological Science
"This is a refreshing exposition of the real story of how to use statistics, a story generally neglected in standard texts. Apart from its wisdom and technical competence, it is a sheer pleasure to read--graceful, witty, and informal. I recommend it highly for advanced undergraduate and graduate students in the social and biological sciences, their teachers, and practicing researchers in all fields who use statistics."
Jacob Cohen
New York University; Author, Applied Multiple Regression/Correlation Analysis