A Primer on Using Multilevel Models in Clinical and Experimental Psychopathology Research | Zendy

Andy P. Field | Zendy; Daniel B. Wright | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

A Primer on Using Multilevel Models in Clinical and Experimental Psychopathology Research

Author(s) -

Andy P. Field,

Daniel B. Wright

Publication year - 2011

Publication title -

journal of experimental psychopathology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.711

H-Index - 10

ISSN - 2043-8087

DOI - 10.5127/jep.013711

Subject(s) - multilevel model , psychopathology , computer science , hierarchical database model , psychology , data mining , machine learning , clinical psychology

A Multilevel model is a statistical tool for analysing data that has a hierarchical data structure (in other words, data are nested within contexts). This paper describes what a multilevel model is, how it is described mathematically, the advantages of using this data analysis technique, and some practical issues to consider. We then move on to describe the application of multilevel models using two scenarios pertinent to researchers interested in clinical trial analysis and experimental psychopathology research. We describe how to use the software R to run these analyses.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research