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Knowledge Structures (Hardcover): James A. Galambos, John B. Black, Robert P. Abelson Knowledge Structures (Hardcover)
James A. Galambos, John B. Black, Robert P. Abelson
R2,239 R1,166 Discovery Miles 11 660 Save R1,073 (48%) Ships in 12 - 17 working days

First Published in 1986. Routledge is an imprint of Taylor & Francis, an informa company.

Scripts, Plans, Goals, and Understanding - An Inquiry Into Human Knowledge Structures (Hardcover): Roger C. Schank, Robert P.... Scripts, Plans, Goals, and Understanding - An Inquiry Into Human Knowledge Structures (Hardcover)
Roger C. Schank, Robert P. Abelson
R3,730 Discovery Miles 37 300 Ships in 12 - 17 working days

First published in 1977. Routledge is an imprint of Taylor & Francis, an informa company.

Statistics As Principled Argument (Paperback): Robert P. Abelson Statistics As Principled Argument (Paperback)
Robert P. Abelson
R1,123 Discovery Miles 11 230 Ships in 12 - 17 working days

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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