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The Effect of Small Sample Size on Two-Level Model Estimates: A Review and Illustration

Educational psychology review, 2016-06, Vol.28 (2), p.295-314 [Peer Reviewed Journal]

Springer Science+Business Media 2016 ;Springer Science+Business Media New York 2014 ;COPYRIGHT 2016 Springer ;Springer Science+Business Media New York 2016 ;ISSN: 1040-726X ;EISSN: 1573-336X ;DOI: 10.1007/s10648-014-9287-x ;CODEN: EPSREO

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Title:
The Effect of Small Sample Size on Two-Level Model Estimates: A Review and Illustration
Author: McNeish, Daniel M. ; Stapleton, Laura M.
Subjects: Child and School Psychology ; Cluster Grouping ; Data analysis ; Education ; Educational aspects ; Educational Psychology ; Effect Size ; Estimation bias ; Estimation methods ; Hierarchical Linear Modeling ; Learning and Instruction ; Literature Reviews ; Maximum likelihood estimation ; Multilevel models ; Multivariate Analysis ; Population estimates ; Research methods ; Research Problems ; Review Article ; REVIEW ARTICLES ; Sample Size ; Sampling distributions ; Simulation ; Simulations ; Standard error ; Statistical Analysis ; Statistical variance ; Studies
Is Part Of: Educational psychology review, 2016-06, Vol.28 (2), p.295-314
Description: Multilevel models are an increasingly popular method to analyze data that originate from a clustered or hierarchical structure. To effectively utilize multilevel models, one must have an adequately large number of clusters; otherwise, some model parameters will be estimated with bias. The goals for this paper are to (1) raise awareness of the problems associated with a small number of clusters, (2) review previous studies on multilevel models with a small number of clusters, (3) to provide an illustrative simulation to demonstrate how a simple model becomes adversely affected by small numbers of clusters, (4) to provide researchers with remedies if they encounter clustered data with a small number of clusters, and (5) to outline methodological topics that have yet to be addressed in the literature.
Publisher: New York: Springer
Language: English
Identifier: ISSN: 1040-726X
EISSN: 1573-336X
DOI: 10.1007/s10648-014-9287-x
CODEN: EPSREO
Source: ProQuest One Psychology
Education Resources Information Center (ERIC)
ProQuest Central

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The Effect of Small Sample Size on Two-Level Model Estimates: A Review and Illustration

Springer Science+Business Media 2016 ;Springer Science+Business Media New York 2014 ;COPYRIGHT 2016 Springer ;Springer Science+Business Media New York 2016 ;ISSN: 1040-726X ;EISSN: 1573-336X ;DOI: 10.1007/s10648-014-9287-x ;CODEN: EPSREO

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