Louis M. Rocconi, Analyzing multilevel data: comparing findings from hierarchical linear modeling and ordinary least squares regression, Higher Education, Vol. 66, No. 4 (October 2013), pp. 439-461 ...

To find population proficiency distributions, a two-level hierarchical linear model may be applied to large-scale survey assessments such as the National Assessment of Educational Progress (NAEP). The ...

Because many common DIF detection methods ignore potential DIF variance, this paper proposes the use of random coefficient hierarchical logistic regression (RC-HLR) models to test for both uniform DIF ...

The course covers contingency tables, Mantel-Haenszel test, measures of association and of agreement, logistic regression models, regression diagnostics, proportional odds, ordinal and polytomous ...

To do this, we used a hierarchical linear regression to predict the total number of hardships people experience, controlling for other factors that affect mobile phone use. We used Stata’s mixed ...