The impact of community-level viariables on individual-level outcomes: theoretical results and applications.  

Oleh:

Mroz, Thomas A. ; Guilkey, David K. ; Gustavo, Angeles

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: Sociological Methods & Research (SMR) vol. 34 no. 01 (Aug. 2005), page 076.
Topik: Multilevel Models; School Achievement; Theoretical Results; Contraceptive Use; Individual-level Outcomes; Monte Carlo Simulations;
Fulltext: Mroz, Thomas A. ; Guilkey, David K. ; Gustavo, Angeles.pdf (659.79KB)

Ketersediaan

Perpustakaan PKPM Nomor Panggil: S28 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

The authors study alternative estimators of the impacts of higher level variables in multilevel models. This is important since many of the important variables in social science research are higher level factors having impacts on many lower level outcomes such as school achievement and contraceptive use. While the large sample properties of alternative estimators for these models are well known, there is little evidence about the relative peiformance of these estimators in the sample sizes typical in social science research. The authors attempt to fill this gap by presenting evidence about point estimation and standard error estimation for both two- and three-level models. A major conclusion of the article is that readily available commercial software can be used to obtain both reliable point estimates and coefficient standard errors in models with two or more levels as long as appropriate corrections are made for possible error correlations at the highest level.

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