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Statistics as Principled Argument
 
 

Statistics as Principled Argument (Paperback)

by Robert P. Abelson (Author) "The field of statistics is misunderstood by students and nonstudents alike ..." (more)
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Product details

  • Paperback: 240 pages
  • Publisher: Psychology Press; 1 edition (15 Mar 1995)
  • Language English
  • ISBN-10: 0805805281
  • ISBN-13: 978-0805805284
  • Product Dimensions: 22.9 x 14 x 1.8 cm
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon.co.uk Sales Rank: 501,268 in Books (See Bestsellers in Books)
  • See Complete Table of Contents

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Product Description

Product Description

The focus of the book is that the purpose of statistics is to organize a useful argument from quantitative evidence, using a form of principled rhetoric. Five criteria, described by the acronym MAGIC - magnitude, articulation, generality, interestingness and credibility - are proposed as crucial features of a persuasive, principled argument. Particular statistical methods are discussed, with minimum use of formulas and heavy data sets. The ideas throughout the book revolve around elementary probability theory, t-tests, and simple issues of research design. It is therefore assumed that the reader has already had some access to systematic coverage of elementary statistics. Many examples are included to explain the connection of statistics to substantive claims about real phenomena.


From the Back Cover

In this illuminating volume, Robert P. Abelson delves into the too-often dismissed problems of interpreting quantitative data and then presenting them in the context of a coherent story about one's research. Unlike too many books on statistics, this is a remarkably engaging read, filled with fascinating real-life (and real-research) examples rather than with recipes for analysis. It will be of true interest and lasting value to beginning graduate students and seasoned researchers alike.

The focus of the book is that the purpose of statistics is to organize a useful argument from quantitative evidence, using a form of principled rhetoric. Five criteria, described by the acronym MAGIC (magnitude, articulation, generality, interestingness, and credibility) are proposed as crucial features of a persuasive, principled argument.

Particular statistical methods are discussed, with minimum use of formulas and heavy data sets. The ideas throughout the book revolve around elementary probability theory, t tests, and simple issues of research design. It is therefore assumed that the reader has already had some access to elementary statistics. Many examples are included to explain the connection of statistics to substantive claims about real phenomena.

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The field of statistics is misunderstood by students and nonstudents alike. Read the first page
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5 of 5 people found the following review helpful:
5.0 out of 5 stars How to think statistically, 5 Sep 2001
By Jeremy Miles "Jeremy Miles" (Los Angeles) - See all my reviews
(REAL NAME)   
This is an excellent book which is not so much about statistics, but about how to "think statistically". It assumes some knowledge of statistics, although not very much (Abelson is a psychologist and statistician, and an undergraduate psychologist would be able to read this book).

It gives excellent examples of ways to think about statistics, and findings in statistics. Why, for example, do orchestra conductors live longer than other people? Is it because of the activity that improves their circulation? Or is it because you have to manage to reach a certain age, before you can become an orchestra conductor - and people who died before that age cannot contribute to the statistics on conductors?

Social psychologists will be surprised to find out that the original cognitive dissonance study Ffestinger and Carlsmith, 1959, did not analyse the data appropriately, and if they had, would not have achieved a significant result.

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