2015
DOI: 10.1093/esr/jcv059
|View full text |Cite
|
Sign up to set email alerts
|

Multilevel Modelling of Country Effects: A Cautionary Tale

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

5
513
1
4

Year Published

2015
2015
2022
2022

Publication Types

Select...
7
2
1

Relationship

0
10

Authors

Journals

citations
Cited by 655 publications
(564 citation statements)
references
References 33 publications
5
513
1
4
Order By: Relevance
“…Given the small number of countries sampled in this study and differences in sample sizes across countries, as well as to account for the nested nature of the data, the logistic regressions were modeled with robust standard errors, which was deemed more preferable to conducting an explicit multilevel analysis (Bryan & Jenkins, 2016;Stegmueller, 2013). Stratified analyses were conducted in which the interaction terms indicated a significant interaction between country or sex with perceived norms in predicting personal cannabis use or attitudes.…”
Section: Resultsmentioning
confidence: 99%
“…Given the small number of countries sampled in this study and differences in sample sizes across countries, as well as to account for the nested nature of the data, the logistic regressions were modeled with robust standard errors, which was deemed more preferable to conducting an explicit multilevel analysis (Bryan & Jenkins, 2016;Stegmueller, 2013). Stratified analyses were conducted in which the interaction terms indicated a significant interaction between country or sex with perceived norms in predicting personal cannabis use or attitudes.…”
Section: Resultsmentioning
confidence: 99%
“…Also clustering and multilevel analysis are basically equivalent methods as has been shown in Monte Carlo simulations by Harden (2009). However, as has been demonstrated recently in Monte Carlo studies by Stegmueller (2013) and Bryan and Jenkins (2015), estimates of parameters and standard errors for the cluster-level variables can be seriously biased when the cluster size is small (e.g. below 30), while the individual-level effects are reliable.…”
Section: Euroskepticism Explained By Financial Expectationsmentioning
confidence: 90%
“…In order to account for the data's nested structure (individuals in countries), we follow Bryan and Jenkins (2015) and use a two-step method. Usually, multi-level modelling is applied for analysing the potential influence of country-level variables on individual-level outcomes.…”
Section: Estimation Methodsmentioning
confidence: 99%