Statistical tests conducted with school environment data: The effect of teachers being clustered in schools |
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| Authors: | Jeffrey P Dorman |
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| Institution: | (1) School of Education, Australian Catholic University, P.O. Box 456, Virginia, QLD, 4014, Australia |
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| Abstract: | This article discusses the effect of clustering on statistical tests conducted with school environment data. Because most
school environment studies involve the collection of data from teachers nested within schools, the hierarchical nature to
these data cannot be ignored. In particular, this article considers the influence of intraschool correlations on tests of
statistical significance conducted with the individual teacher as the unit of analysis. Theory that adjusts t test scores for nested data in two-group comparisons is presented and applied to school environment data. This article demonstrates
that Type I error rates inflate greatly as the intraschool correlation increases. Because data analysis techniques that recognise
the clustering of teachers in schools are essential, it is recommended that either multilevel analysis or adjustments to statistical
parameters be undertaken in school environment studies involving nested data. |
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| Keywords: | Effect of clustering School environment Statistical testing |
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