ABELSON STATISTICS AS PRINCIPLED ARGUMENT PDF

Abelson delves into the problems of interpreting quantitative data and then presenting them in the context of a coherent story about one’s research. Get this from a library! Statistics As Principled Argument.. [Robert P Abelson] — In this illuminating volume, Robert P. Abelson delves into the too-often dismissed. Read the full-text online edition of Statistics as Principled Argument ().

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Roeland rated it really liked it Sep 24, It’s a rationalist look at the common uses and misuses of the art of statistics, in the realm of advanced application i. 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.

Return to Book Page. It will be of true interest and lasting value to beginning graduate students and seasoned researchers alike. Want to Read Currently Reading Read. His suggestions, taken from his mentor John Tukey, prescribe using less categorical or more flexible conclusions from null-hypothesis testing.

Refreshing after all those dry, equation-based textbooks! Paperbackpages.

Statistics as Principled Argument – Robert P. Abelson – Google Books

Statistics are only effectively used when in proper context, which means that they must be integrated into the greater voice of your research. Molly rated it it was ok Apr 01, Ableson is entertaining enough, and his guidelines Magnitude, Articulation, Generalisation, Interest, and Credibility of argumentplus his 8 laws are excellent esp.

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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. Compartilhe seus pensamentos com outros clientes.

The greatest strength of the text is Abelson’s talent to simplify the process of making statistical arguments. Farester rated it liked it Apr 21, 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.

You will be surprised at how much you will learn. Matt Prante rated it it was amazing Dec 07, In many ways, I think this deserves five stars: Review quote “Everyone doing research or planning to do research should read this book. Was strongly recommended by a friend: In this illuminating volume, Robert P. Helen rated it it was amazing Mar 04, It will really help new researchers understand how and why statistics is the language of science.

The Once and Future Worker: Seja o primeiro a avaliar este item. This is not to say the author doesn’t deal with these subjects – Abelson’s review of multiple comparisons, for example, is thorough and helpful.

Just a moment while we sign you in to your Goodreads account. Statitics 20, Annie rated it really liked it Recommends it for: 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 pricnipled. If you are insane, look at that behind you!!!

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Statistics As Principled Argument

It will be of true interest and lasting value to beginning graduate students and seasoned researchers alike. Open Preview See a Problem? Somehow, the execution didn’t do it for me, but I can’t put my finger on what it is. This is a great second book for anyone studying statistics. In this reviewer’s opinion, such a combination makes this the perfect text or at least a aegument additional text for teaching courses in statistical analysis, particularly in psychology departments, a topic from which Abelson concentrates on throughout the text.

Rastreie seus pedidos recentes. It is well-framed around the title of the book.

Statistics As Principled Argument by Robert P. Abelson

Trivia About Statistics As Pri Still, Abelson’s underlying ideas maintain their power. As a stand-alone text staitstics, this makes statisticd prescription for this book as a standard textbook extremely challenging without a more formal and dense theoretical companion volume for those more mathematically inclined.

I recommend assigning this book in your statistics courses. This book finally made me understand the core of the statistics, why it appears to be so confusing for people coming from science and how it can be dealt with.