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2006Research Conference | June 15–16

This conference highlighted the work of invited speakers, independent researchers who have received grant funds from the Institute of Education Sciences, and trainees supported through predoctoral training grants and postdoctoral fellowships. The presentations are those of the authors and do not necessarily represent the views of the U.S. Department of Education or the Institute of Education Sciences.
Hyatt Regency Washington on Capitol Hill
400 New Jersey Avenue, N.W.
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Use of Sampling Weights in Multilevel Models Fit to NAEP Data

Ian Harris, Southern Methodist University
Lynne Stokes, Southern Methodist University

Abstract: NAEP (National Assessment of Educational Progress) data are collected via a complex sampling design. As a result some students have higher probabilities of selection into the sample than others. Many secondary users of NAEP data fit hierarchical or multi-level models, but are unsure of exactly how to use the sampling weights supplied in the NAEP data files. Some commercial software such as HLM implements a first-order weighting approach, and recent research in the literature has suggested the use of second-order weights, which are inversely proportional to joint selection of students. This poster gives some recommendations on using both first-order and second-order weights for NAEP type designs, primarily for multi-level linear models, with some information on the generalized linear models.