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Activity Number: 79
Type: Contributed
Date/Time: Sunday, July 31, 2016 : 4:00 PM to 5:50 PM
Sponsor: Survey Research Methods Section
Abstract #318881 View Presentation
Title: Asymptotics of MDIA Estimates Under Complex Sampling Designs
Author(s): Lili Yao* and Shelby Haberman and Daniel F. McCaffrey and J.R. Lockwood
Companies: Educational Testing Service and Educational Testing Service and Educational Testing Service and Educational Testing Service
Keywords: MDIA ; Complex sampling ; Large sample approximation
Abstract:

In observational studies, samples drawn from one or more study populations are used to make inferences concerning a target population. Such inferences require adjustment for population differences . Minimum discriminant information adjustment (MDIA) can be employed to weight samples to conform to known population information. In the case of simple random sampling, Haberman (1984) has derived large-sample properties for MDIA-based weighted sample means. In this paper, these results are generalized to complex sampling designs, including stratified sampling and two-stage sampling. To illustrate use of these new results and to evaluate accuracy of large-sample approximations, applications are made to a statewide program in Florida middle schools to provide reading coaching.


Authors who are presenting talks have a * after their name.

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