UID:
almahu_9949641804802882
Format:
1 online resource (248 pages) :
,
illustrations (black and white, and color).
ISBN:
9781003458777
,
1003458777
,
9781003813026
,
100381302X
,
9781003813040
,
1003813046
Content:
This book summarizes the methods and concepts of Statistical Implicative Analysis (SIA), created by Rgis Gras in the 1980s to study, in a new way, the behavioural responses of French pupils to mathematics tests. Using a multidimensional, non-symmetrical data analysis method, SIA crosses a set of subjects or objects with a set of variables. It effectively complements traditional correlational and psychometric methods. SIA, through its various extensions, is today presented as a broad Artificial Intelligence method aimed at extracting trends and possible causalities in the form of rules, from a set of variables. It is based on the unlikeliness of the existence of these relationships, i.e. on the relative weakness of their counter-examples compared to what chance alone would produce. It establishes a dual topological relationship between the set of subjects and the set of variables. Many applications of this approach, driving forces or crucibles for the development of SIA, have concerned and still concern various fields such as didactics, evaluation and assessment, psychology, sociology, medicine, biology, economics, art history, and others. Key Features: Presents the foundations and representations of SIA Provides extensions of variable sets and subjects Includes a bonus exercise
Additional Edition:
Print version: Gras, Régis. Theory of statistical implicative analysis. Boca Raton : Chapman & Hall/CRC, 2023 ISBN 9781032515427
Language:
English
DOI:
10.1201/9781003458777
URL:
https://www.taylorfrancis.com/books/9781003458777
