This original research examined the intersection of school leadership and teacher to parent communication. The analysis used hierarchical linear modeling (HLM) to determine how principal actions and school level factors were related to teacher actions and the focus of communication. Secondary educators in four district school boards were surveyed…

Intelligent tutoring systems yield data with many properties that render it potentially ideal to examine using multi-level models (MLM). Repeated observations with dependencies may be optimally examined using MLM because it can account for deviations from normality. This paper examines the applicability of MLM to data from the intelligent tutoring…

This conference presentation reviews the authors' work on autocorrelations in single-case designs. The bias-corrected autocorrelation is computed, results are meta-analyzed with 5-level multilevel analysis in SAS Proc Mixed. Results suggest autocorrelations are normally distributed, and that taking into account nesting in outcomes and articles…

This study, drawing on date from the Programme for International Student Assessment (PISA) 2009, examined the relationships of out-of-school-time mathematics lessons to mathematical literacy in Singapore and Australia. Results of two-level hierarchical linear modelling (HLM) analyses revealed that out-of-school-time enrichment lessons in…

This paper provides a discussion of the results of a cross-sectional examination of linguistic variables that are predicted to influence L2 reading fluency. This study is part of a larger, longitudinal mixed-methods study into reading fluency development using online Timed Reading (TR) with participants from a mid-to-high level private university…