ERIC Number: EJ723961
Record Type: Journal
Publication Date: 2005-Jun
Reference Count: N/A
The Role of Plausible Values in Large-Scale Surveys
Studies in Educational Evaluation, v31 n2-3 p114-128 Jun 2005
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.
Descriptors: Error of Measurement, Computation, Educational Research, Educational Assessment, Measurement, Data Analysis, Academic Achievement, Student Evaluation, Test Bias, Values
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Publication Type: Journal Articles; Reports - Evaluative
Education Level: N/A
Authoring Institution: N/A
Identifiers - Assessments and Surveys: Program for International Student Assessment