The uses of multilevel modelling in data that occurs at several levels

JR Rasbash

Research output: Contribution to journalArticle (Academic Journal)peer-review

Abstract

Multilevel models are increasingly used in the social and health sciences for the analysis of clustered data. There are two main reasons for this. Firstly, failing to properly account for clustering in a single level regression analysis can lead to incorrect inferences. Secondly, the ability of multilevel models to simultaneously analyse data at multiple levels of systems provides a framework for investigating a wider range of types of research question than is available with traditional techniques. This introductory talk describes the basic multilevel model and gives examples of analysis where the quality of inference is improved and new types of research question are addressed because a multilevel modelling approach is adopted.
Translated title of the contributionThe uses of multilevel modelling in data that occurs at several levels
Original languageEnglish
Pages (from-to)47 - 48
Number of pages1
JournalPsychology and Health
Volume23:1
DOIs
Publication statusPublished - Sep 2008

Bibliographical note

Publisher: Routledge
Name and Venue of Conference: BPS Division of Health Psychology/ European Health Psychology Society Annual Conference 2008
Conference Organiser: The British Psychological Society

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