ABELSON STATISTICS AS PRINCIPLED ARGUMENT PDF

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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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Particular statistical methods are discussed, with minimum use of formulas and heavy data sets. 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.

Adam Gurri rated it it was amazing Feb 23, Michael Costigan rated it it was amazing Mar 22, Abelson Snippet view – Check out the top books of the year on our page Best Books of To ask other readers questions about Statistics As Principled Argumentplease sign up. It proves that statistical issues can be addressed in an articulate, interesting, entertaining and persuasive way.

Statistics As Principled Argument : Robert P. Abelson :

Two major drawbacks hold it back from that ranking. The other is some inescapable datedness in a book of this vintage: It is unclear what version of the universe requires that we systematize principles of “interestingness” precisely because such judgments are often made post-hoc. Visit our Beautiful Books page and find lovely books for kids, photography lovers and more. Selected pages Title Page. Description In this illuminating volume, Robert P.

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In this illuminating volume, Robert P. If you’re not interested in psychology, many princopled the examples will be unappealing, even though Abelson does explain the necessary background and choose things that are relatively lively. 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.

Five criteria, described by the acronym MAGIC magnitude, articulation, generality, interestingness, and credibility are proposed as crucial features of a persuasive, principled argument. Goodreads is the world’s largest site for readers with over 50 million reviews.

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.

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.

This book wasn’t quite what I thought it would be. Lists with This Book. 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. In this illuminating volume, Robert P. Compartilhe seus pensamentos com outros clientes.

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Statistics As Principled Argument

abelsn Matt Prante rated it it was amazing Dec 07, 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. MAGIC magnitude, articulation, generalization, interestingness, and credibility is Abelson’s way of systematizing our folk-intuitions about the importance or worthwhileness of a particular claim.

Argumdnt using our website you agree to our use of cookies. Five criteria, described by the acronym MAGIC magnitude, articulation, generality, interestingness, and credibility are proposed as crucial features of a persuasive, principled argument.

Numbers are nice, but they are truly meaningful when a context is explained, and this book has achieved the lot as concerns for statistics. MAGIC and mathematical formalism.

The Statistixs and Future Worker: Five criteria, described by the acronym MAGIC magnitude, articulation, generality, interestingness, and credibility are proposed as crucial features of a persuasive, principled argument. Many examples are included to explain the connection of statistics to substantive claims about real phenomena.

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