Multilevel Analysis in Public Health Research

Multilevel analysis in public health research.

Over the past few years there has been growing interest in considering factors defined at multiple levels in public health research. Multilevel analysis has emerged as one analytical strategy that may partly address this need, by allowing the simultaneous examination of group-level and individual-level factors. This paper reviews the rationale for using multilevel analysis in public health rese...

MULTILEVEL ANALYSIS IN CSCL RESEARCH 1 Running head: MULTILEVEL ANALYSIS IN CSCL RESEARCH MULTILEVEL ANALYSIS IN CSCL RESEARCH

Multilevel Analysis in CSCL Research

S. Puntambekar et al. (eds.), Analyzing Interactions in CSCL, Computer-Supported Collaborative Learning Series, DOI 10.1007/978-1-4419-7710-6_9, © Springer Science+Business Media, LLC 2011 Abstract The aim of this chapter is to explain why multilevel analysis (MLA) is often necessary to correctly answer the questions CSCL researchers address. Although CSCL researchers continue to use statistica...

Multilevel modelling and public health policy.

BACKGROUND Multilevel modelling is a statistical technique that extends ordinary regression analysis to the situation where the data are hierarchical. Such data form an increasingly common evidence base for public health policy, and as such it is important that policy makers should be aware of this methodology. METHOD This paper therefore lays out the a basic description of multilevel modelli...

Operations research in public health.

Operations Research (OR) is gaining importance in public health interventions and programmes increasingly both nationally and internationally. The focus of these research techniques is to constantly guide the programme implementation to achieve best results. It modulates inputs and processes involved in the programme cycle and strive to produce optimal gains in achieving targets and goals. Util...