The aim of this paper is to study the quantitative tools of the research in didactics. We want to investigate the theoretical-experimental relationships between factorial and implicative analysis. This chapter consists of three parts. The first one deals with the didactic research and some fundamental tools: the a priori analysis of a didactic situation, the collection of experimental data and the statistic analysis of data. The purpose of the second and the third section is to introduce the experimental comparison between the factorial and the implicative analysis in two researches in mathematics education.
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© 2008 Springer-Verlag Berlin Heidelberg
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Malisani, E., Scimone, A., Spagnolo, F. (2008). Modelling by Statistic in Research of Mathematics Education. 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_12
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DOI: https://doi.org/10.1007/978-3-540-78983-3_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-78982-6
Online ISBN: 978-3-540-78983-3
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