Analytical modeling in complex surveys of work practices
AbstractQuantitative industrial relations research frequently relies on data collected from large surveys of establishments that use complex sampling designs, such as stratified and unequal probability sampling. The authors analyze two complex surveys of establishments, the National Organizations Survey and the National Survey of Establishments. They discuss design-based (survey-weighted) and model-based (unweighted) strategies for analyzing these data. They show that the choice of strategy can affect inferences about parameters, and hence conclusions drawn from analyses. They discuss the advantages of model-based approaches that include independent variables corresponding to design features, such as functions of size measures or indicator variables for strata or clusters, relative to purely design-based approaches. (Free full-text download available at http://digitalcommons.ilr.cornell.edu/ilrreview/.)
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Bibliographic InfoArticle provided by ILR Review, Cornell University, ILR School in its journal ILR Review.
Volume (Year): 59 (2005)
Issue (Month): 1 (October)
Postal: 381 Ives East, Cornell University, Ithaca, NY 14853-3901
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- Fathi Fakhfakh & Virginie Pérotin & Monica Gago, 2011.
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- Sun, Ping & Unger, Jennifer B. & Palmer, Paula & Ma, Huiyan & Xie, Bin & Sussman, Steve & Johnson, C. Anderson, 2012. "Relative income inequality and selected health outcomes in urban Chinese youth," Social Science & Medicine, Elsevier, vol. 74(1), pages 84-91.
- Neil Conway & Simon Deakin & Suzzanne J. Konzelmann & Héloïse Petit & Antoine Rebérioux & Frank Wilkinson, 2008. "The Influence of Stock Market Listing on Human Resource Managment: Evidence for France and Britain," ESRC Centre for Business Research - Working Papers wp366, ESRC Centre for Business Research.
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