Multilevel data are those data which are ordered in a hierarchy, data that has a “nested” structure. A common nesting structure is having multiple measurements within one subject. For example, if we measure students’ engagement in science class several times over the course of an entire semester the data we get has a specific hierarchy.Continue reading “The Importance of Within and Between-Subject Correlations for Multilevel Data”
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Quantitative Quandaries 