Please use this identifier to cite or link to this item: https://repository.isls.org//handle/1/3093
Title: The interaction between groups and individuals: The challenge of statistically analysing cooperative learning
Authors: Cress, Ulrike
Issue Date: Jun-2008
Publisher: International Society of the Learning Sciences, Inc.
Citation: Cress, U. (2008). The interaction between groups and individuals: The challenge of statistically analysing cooperative learning. In Kanselaar, G., Jonker, V., Kirschner, P. A., & Prins, F. J. (Eds.), International Perspectives in the Learning Sciences: Cre8ing a learning world. Proceedings of the Eighth International Conference for the Learning Sciences – ICLS 2008, Volume 1 (pp. 183-190). Utrecht, The Netherlands: International Society of the Learning Sciences.
Abstract: Research about the effect of cooperative learning settings faces the challenge of dealing with hierarchical data where observations regarding the learners are not stochastically independent. Standard methods like ANOVAs cannot deal with such data adequately. The article introduces multilevel modelling (MLM) as a statistical approach adequate for nested data. MLM allows taking into account interactions between group-level variables and individual-level variables. But MLM requires large sample sizes, and thus many studies fail to adopt MLM. For such studies, it is proposed that some additional statistics be presented.
URI: https://doi.dx.org/10.22318/icls2008.1.183
https://repository.isls.org//handle/1/3093
Appears in Collections:ICLS 2008

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