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Tytuł artykułu
Autorzy
Warianty tytułu
Języki publikacji
Abstrakty
The aim of the study is to examine the robustness of the estimates and standard errors in the case of different structure of the sample and its size. The two-level model with a random intercept, slope and fixed effects, estimated using maximum likelihood, was taken into account. We used Monte Carlo simulation, performed on a sample of the equipotent groups. (original abstract)
Rocznik
Tom
Numer
Strony
19-28
Opis fizyczny
Twórcy
autor
- University of Lodz, Poland
Bibliografia
- Bell B.A., Morgan G.B., Kromrey J.D., Ferron J.M. (2010) The impact of small cluster size on multilevel models: a Monte Carlo examination of two-level models with binary and continuous predictors, JSM Proceedings, Survey Research Methods Section, pp. 4057-4067.
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- Goldstein H. (2010) Multilevel statistical models (4th ed.), New York: Hodder Arnold.
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- Maas C.J.M., Hox J.J. (2005) Sufficient sample sizes for multilevel modeling, Methodology, 1, pp. 86-92.
- Mass C.J., Hox J.J. (2002) Robustness of multilevel parameter estimates against small sample sizes. Unpublished Paper, Utrecht University.
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- Snijders T.A.B. (2005) Power and Sample Size in Multilevel Linear Models', [in:] Everitt B.S., Howell D.C. (eds.) Encyclopedia of Statistics in Behavioral Science, Vol. 3, Wiley, pp. 1570-1573.
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Typ dokumentu
Bibliografia
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Identyfikator YADDA
bwmeta1.element.ekon-element-000171268555