TY - JOUR
AU - Stapleton, Laura
AB -  This article evaluates two methods of approximating cluster-level and conditional sampling weights when only unconditional sampling weights are available. For estimation of a multilevel analysis that does not include all facets of a sampling design, conditional sampling weights at each stage of the model should be used, but typically only the unconditional sampling weight of the ultimate sampling unit is provided on federal publicly-released datasets. Methods of approximating these conditional weights have been suggested but there has been no study of their adequacy. This demonstration and simulation study examines the feasibility of using these weight approximations. 
TI - Evaluation of Conditional Weight Approximations for Two-Level Models
JF - Communications in Statistics: Simulation and Computation
DO - 10.1080/03610918.2011.579700
DA - 2012-02-01
UR - https://www.deepdyve.com/lp/taylor-francis/evaluation-of-conditional-weight-approximations-for-two-level-models-Mku01dfbj0
SP - 182
EP - 204
VL - 41
IS - 2
DP - DeepDyve
ER -