Non-response biases in surveys of school children: the case of the English PISA samples
Micklewright, John, Schnepf, Sylke V. and Skinner, Chris J. (2012) Non-response biases in surveys of school children: the case of the English PISA samples. Journal of the Royal Statistical Society Series A (General) (A10/01). (In Press).
Download
|
PDF
Download (439Kb) |
Description/Abstract
We analyse response patterns to an important survey of school children, exploiting rich auxiliary information on respondents’ and non-respondents’ cognitive ability that is correlated both with response and the learning achievement that the survey aims to measure. The survey is the Programme for International Student Assessment (PISA), which sets response thresholds in an attempt to control data quality. We analyse the case of England for 2000 when response rates were deemed high enough by the PISA organisers to publish the results, and 2003, when response rates were a little lower and deemed of sufficient concern for the results not to be published. We construct weights that account for the pattern of non-response using two methods, propensity scores and the GREG estimator. There is clear evidence of biases, but there is no indication that the slightly higher response rates in 2000 were associated with higher quality data. This underlines the danger of using response rate thresholds as a guide to data quality
| Item Type: | Article |
|---|---|
| ISSNs: | 0035-9238 (print) 1467-9868 (electronic) |
| Keywords: | non-response, bias, school survey, data linkage, PISA |
| Subjects: | H Social Sciences > HA Statistics |
| Divisions: | University Structure - Pre August 2011 > Southampton Statistical Sciences Research Institute Faculty of Social and Human Sciences > Social Sciences > Social Statistics & Demography |
| Item ID: | 79403 |
| Date Deposited: | 15 Mar 2010 |
| Last Modified: | 30 Jul 2012 12:33 |
| Contributors: | Micklewright, John (Author) Schnepf, Sylke V. (Author) Skinner, Chris J. (Author) |
| Date: | January 2012 |
| Status: | In Press |
| Publisher: | Southampton Statistical Sciences Research Institute, University of Southampton |
| URI: | http://eprints.soton.ac.uk/id/eprint/79403 |
Actions (login required)
![]() |
View Item |


