Research Repository

The role of plausible values in large-scale surveys

Wu, Margaret (2005) The role of plausible values in large-scale surveys. Studies in Educational Evaluation, 31 (2-3). pp. 114-128. ISSN 0191-491X

Full text for this resource is not available from the Research Repository.


In large-scale assessment programs such as NAEP, TIMSS and PISA, students' achievement data sets provided for secondary analysts contain so-called plausible values. Plausible values are multiple imputations of the unobservable latent achievement for each student. In this article it has been shown how plausible values are used to: (1) address concerns with bias in the estimation of certain population parameters when point estimates of latent achievement are used to estimate those population parameters; (2) allow secondary data analysts to employ standard techniques and tools (e.g., SPSS, SAS procedures) to analyse achievement data that contains substantial measurement error components; and (3) facilitate the computation of standard errors of estimates when the sample design is complex. The advantages of plausible values have been illustrated by comparing the use of maximum likelihood estimates and plausible values (PV) for estimating a range of population statistics.

Item Type: Article
Uncontrolled Keywords: ResPubID23142, plausible values, large-scale surveys, population statistics
Subjects: Historical > Faculty/School/Research Centre/Department > Work-Based Education Research Centre (WERC)
Current > FOR Classification > 1303 Specialist Studies in Education
Depositing User: VUIR
Date Deposited: 27 Jul 2012 07:11
Last Modified: 27 Jul 2012 07:11
ePrint Statistics: View download statistics for this item
Citations in Scopus: 144 - View on Scopus

Repository staff only

View Item View Item

Search Google Scholar