Theorizing and Measuring Affect in Mathematics Teaching and Learning 2020
DOI: 10.1007/978-3-030-50526-4_13
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A Clustering Method for Multiple-Answer Questions on Pre-service Primary Teachers’ Views of Mathematics

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(4 citation statements)
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“…We analysed prospective teachers' beliefs about successfully learning and teaching mathematics through cluster analysis, as already performed in our previous research (Eichler et al, 2021;Maffia et al, 2020). Thus, the prospective teachers were asked to select the three most important features for being successful in mathematics learning (question B 2) or for successfully teaching mathematics (question B4) out of 12 features (Tab.…”
Section: Methodsmentioning
confidence: 99%
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“…We analysed prospective teachers' beliefs about successfully learning and teaching mathematics through cluster analysis, as already performed in our previous research (Eichler et al, 2021;Maffia et al, 2020). Thus, the prospective teachers were asked to select the three most important features for being successful in mathematics learning (question B 2) or for successfully teaching mathematics (question B4) out of 12 features (Tab.…”
Section: Methodsmentioning
confidence: 99%
“…1). Afterwards, every teacher of the sample in this research study was assigned to a cluster of beliefs using an agglomerative hierarchical algorithm; the number of clusters was chosen to minimise the absolute maximum deviation from the median of the number of participants per cluster (Maffia et al, 2020). As noted in the previous sections, beliefs about success in mathematics may differ from those about success in the teaching of the subject, so two different clustering methods were implemented for the two sets of beliefs.…”
Section: Methodsmentioning
confidence: 99%
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