En este instructivo volumen, Robert P. Abelson se dedica a profundizar en los problemas que suelen plantear la interpretación de datos cuantitativos y su presentación en el contexto de una historia coherente acerca de la propia investigación. Pero lo más importante de su trabajo es que, a diferencia de la mayor parte de los libros publicados sobre temas de estadística, aquí la lectura es fácil y fluida, pues el texto está lleno de fascinantes ejemplos extraídos de la vida real (y de la investigación, claro está) y, a su vez, carece de esas fastidiosas disquisiciones analíticas que suele ostentar la bibliografía sobre la cuestión.
If you're used to relegating statistics to only the results section in your manuscript, you need to read this book. Statistics are only effectively used when in (proper) context, which means that they must be integrated into the greater voice of your research. Being able to do so not only makes your papers more easy to read, but it even helps you understand the importance of the methods and statistical tools you use to explore your data.
"It will be of true interest and lasting value to beginning graduate students and seasoned researchers alike."
I shoulda read the blurb more carefully. I am neither of those audiences. And I've been reading about the use and abuse of statistics in more recent science books, so ok.
Excellent book, on how statistics can and should be used to make a convincing argument. A persuasive (statistical) argument has MAGIC; Magnitude, Articulation, Generality, Interestingness, Credibility.
The book does not explain different statistical techniques, but does gives very practical advice on how to use the outcomes and what possibilities are to generate convincing underpinning of the argument.
Very rich book, definitely worth the effort to absorb all the ideas, examples and wise suggestions.
The basic idea, that statistics is an argument, where you need to logically make your case and defend it, is excellent.
I agree 100%, and I think statistics needs to be taught in the context of scientific process and epistemology.
Ableson is entertaining enough, and his guidelines (Magnitude, Articulation, Generalisation, Interest, and Credibility of argument), plus his 8 laws are excellent (esp. '1. Chance is Lumpy').
Somehow, the execution didn't do it for me, but I can't put my finger on what it is.
I bought this as one of the required texts in my intermediate stats/data analysis course. It addresses statistics in a clear articulate manner from the point of view of the philosophy of statistics. Refreshing after all those dry, equation-based textbooks! Highly recommended for those who are seeking to understand the underpinning of statistics (otherwise, you probably don't need to read it).
If you do, and you aren't you will love this book. It's a rationalist look at the common uses (and misuses) of the art of statistics, in the realm of advanced application (i.e. not percentages, etc.)