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I am a PhD student at Murdoch University in Western Australia. I am researching socio-economic compositional effects. My focus has been on determining veracity and strength. I am currently looking at mediators of compositional effects. I am also interested in post-school outcomes and the geographic mapping of school segregation.
International research has consistently found that the socioeconomic segregation of schools may worsen inequalities in schooling outcomes through the socioeconomic compositional effect. This study examines whether the socioeconomic compositional effect varies between developed countries and potential mechanisms by which national schooling systems m...
We respond to Malatinszky and Armor’s, and Marks’ comments on our article recently published in this journal. We agree with Marks in the use of prior achievement to control for spurious effects in school effects research. Marks makes an incorrect statement about our article, refers to dated critiques, and presents an empirical demonstration with so...
School socio-economic compositional (SEC) effects have been influential in educational research predicting a range of outcomes and influencing public policy. However, some recent studies have challenged the veracity of SEC effects when applying residualised-change and fixed effects models and simulating potential measurement errors in hierarchical...
The veracity and strength of socio-economic school compositional effects have been questioned due to potential biases from measurement error and selection effects. We constructed a set of residualized-change and cross-sectional models to test and compare compositional effects for selection bias, differential sensitivity and substantiveness while ad...
School compositional effects have been examined for more than fifty years. While there is widespread agreement about their existence, some recent studies have rejected school socio-economic compositional effects based on criticisms of the methodologies of prior studies and their own findings. Given the potential importance of school composition eff...
I am comparing a level-2 coefficient in a 2-level hierarchical analysis across groups (using the same model) aiming to detect group-wise significant differences in the coefficient. Is it correct that a significant difference occurs if the 95% confidence intervals do not overlap in such a situation?
Could I also test for a significant interaction effect between a dummy variable for each group and the level-2 effect to determine if groups significantly differ on the level-2 co-efficient?
Calculating contextual effects in multilevel models