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Statistics as principled argument
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Statistics as principled argument

著者: Robert P Abelson
出版: Hillsdale, N.J. : L. Erlbaum Associates, 1995.
エディション/フォーマット:   書籍 : Englishすべてのエディションとフォーマットを見る
概要:
The author 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.... 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,  続きを読む
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その他のフォーマット: Online version:
Abelson, Robert P.
Statistics as principled argument.
Hillsdale, N.J. : L. Erlbaum Associates, 1995
(OCoLC)607836137
Online version:
Abelson, Robert P.
Statistics as principled argument.
Hillsdale, N.J. : L. Erlbaum Associates, 1995
(OCoLC)622328845
ドキュメントの種類: 図書
すべての著者/寄与者: Robert P Abelson
ISBN: 0805805273 9780805805277 0805805281 9780805805284
OCLC No.: 31011850
形態 xv, 221 p. ; 24 cm.
コンテンツ: Abelson's laws --
1. Making claims with statistics --
2. Elementary arguments and the role of chance --
3. Magnitude of effects --
4. Styles of rhetoric --
5. On suspecting fishiness --
6. Articulation of results : ticks and buts --
7. Generality of effects --
8. Interestingness of argument --
9. Credibility of argument.
責任者: Robert P. Abelson.
その他の情報:

概要:

The author 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.... 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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