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New Statistical Methods for Analysing Social Structures

An introduction to multilevel models

Bibliographic Data

ID11160673
AuthorsLindsay Paterson (0000-0002-2745-3531, University of Edinburgh), Harvey Goldstein (0000-0003-3878-4122, University of London)
Year1991
Volume17
Issue4
Pages387-393
Publication date1991-09-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueBritish Educational Research Journal (JOURNAL)
Journal identifiersISSN: 0141-1926 • E-ISSN: 1469-3518
PublisherWiley (PUBLISHER • GB)
DOI10.1080/0141192910170408
OpenAlexW2169967812
LanguageEN
Citations received55
References cited11

An introductory account is given of developments in multilevel modelling of educational and other social data. The technique is introduced with some simple examples and its importance is explained. Examples of applications in a number of areas are given, including repeated measures designs, school effectiveness studies, area‐based studies and political opinion sample surveys. Almost all data collected in the social sciences have some form of inherent hierarchical structure, and this structure should be reflected in the statistical models that are used to analyse them. It is suggested that multilevel techniques and associated software packages have reached the stage when they can and should be applied routinely in the analysis of social data, and that failure to do so can result in potentially serious misinterpretations

Data science · Econometrics · Educational research · Epistemology · Machine learning · Management science · Mathematics education · Multilevel model · Sample (material) · Simple (philosophy) · Statistical analysis · Statistical model · Statistics · Computer Science · Engineering · Mathematics · Psychology · School Choice and Performance · Software

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Unique citing works55
Citations per year1,67
Citation span1993 - 2026 (34)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 50
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