Year: 2015
Type: erratum
Abstract: Sampling weights are a reflection of sampling design; they allow us to draw valid \nconclusions about population features from sample data. This paper explains the \nfundamentals of computing sampling weights for large-scale assessments in educational \nresearch. The relationship between the nature of complex samples and best practices in \ndeveloping a set of weights to enable computation of unbiased population estimates is \ndescribed. Effects of sampling weights on estimates are shown, as well as potential \nconsequences of not using weights when analysing data from complex samples. Illustrative \nexamples are provided in order to make it easy to understand the rationale behind the \nmathematical foundations.
Source: PubMed
Author: Meinck, Sabine
Language: English
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W28675087