AIR experts will present on a variety of workplace and training issues at the annual conference of the Society for Industrial and Organizational Psychology (SIOP), being held April 27-30 at the Washington State Convention Center in Seattle and virtually.
This study estimated the potential bias from "worst-case" scenarios of selective non-participation in NAEP, and examined the extent to which statistical methods can correct for that bias.
The purpose of this simulation was to assess the improvements in standard errors of estimates that could be expected if students participating in NAEP were pre-assigned to test booklets that were adapted to their level of performance based on their state assessment scores.
This paper is a demonstration of how partitioning analysis can be used to help separate changes in reading and mathematical proficiency from changes in school populations over assessment years, using NAEP data.
This study addresses the threat to the validity of scores arising from differential and changing participation rates of schools and students in NAEP testing.
The authors of this paper provide a summary overview of what is already known and what is needed to learn about item types for future NAEP assessments.
This study examined NAEP testing conditions in schools and investigated whether being assessed in less than optimal testing conditions is associated with lower student achievement on the assessments.
The purpose of this study is to estimate the extent to which state assessment scores can be used to improve the adjustments of NAEP data to remove the biases due to absences.