Statistics as Principled Argument

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A01=Robert P. Abelson
Author_Robert P. Abelson
Category=GPS
Category=JHB
Category=JMB
comparison
Construct Yield
Data Set
effect
Effect Size Measure
Embarrassing Footnote
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ESP
Expected Effect Size
experimental design
Expertness Effect
Ganzfeld Studies
hypothesis
Individual Significance Test
inferential statistics
IQ Gain
IQ Score
Magic
Motor Vehicle Fatalities
multiple
Multiple Comparisons Procedure
Null Hypothesis
Null Hypothesis Tests
persuasive statistical communication
probability theory
procedures
Qualitative Interaction
quantitative reasoning
Random Assignment
Random Effects Model
Random Generating Process
Raw Effect Size
research methodology
Risky Shift
scientific argumentation
significance
size
Social Facilitation Effect
standardized
Standardized Effect Size
test
Vice Versa

Product details

  • ISBN 9781041020998
  • Weight: 610g
  • Dimensions: 152 x 229mm
  • Publication Date: 03 Nov 2025
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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In Statistics as Principled Argument, first published in 1995, Robert P. Abelson exposes the often-overlooked problems in quantitative data interpretation, and the challenge of presenting the data in terms of a coherent narrative about one's research. This classic edition offers a new introduction which views Abelson's work through a contemporary lens, highlighting how his teachings remain vitally relevant today.

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. Statistical methods are discussed, but 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. Many examples are included to explain the connection of statistics to substantive claims about real phenomena.

This remarkably engaging read is filled with fascinating real-life (and real research) examples rather than simply recipes for analysis. Abelson’s insights generate true interest for beginning graduate students and seasoned researchers alike, and will be invaluable to students, scholars, researchers, and practitioners who use statistics within their research.

Robert P. Abelson was a professor in the psychology and political science departments at Yale University. He made foundational contributions to social psychology, political psychology, and cognitive science, as well as important contributions to statistics.

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