People working in Didactics of Mathematics have constantly regarded statistical implicative analysis as a profitable and heuristic method of data analysis. First we intend to show the reasons for this interest: implicative links that S.I.A. has pointed out may be interpreted as rules and regulations connecting actions, discourses, …, or as a group's characteristics. We develop some examples showing how S.I.A. can be used and what special research results it can provide. We insist upon some points that may be interesting methodologically to focus on: asymmetric links, nodes and separate implicative ways.
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© 2008 Springer-Verlag Berlin Heidelberg
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Lahanier-Reuter, D. (2008). Didactics of Mathematics and Implicative Statistical Analysis. In: Gras, R., Suzuki, E., Guillet, F., Spagnolo, F. (eds) Statistical Implicative Analysis. Studies in Computational Intelligence, vol 127. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78983-3_13
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DOI: https://doi.org/10.1007/978-3-540-78983-3_13
Publisher Name: Springer, Berlin, Heidelberg
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