Large-scale learning assessments can be used to generate performance and contextual data on student learning outcomes. They can be national, regional, or international; school based or household based. The UNESCO International Institute for Educational Planning (IIEP-UNESCO) has conducted a qualitative study to explore both how and why learning…

When competence tests are administered, subjects frequently omit items. These missing responses pose a threat to correctly estimating the proficiency level. Newer model-based approaches aim to take nonignorable missing data processes into account by incorporating a latent missing propensity into the measurement model. Two assumptions are typically…

The conventional approaches to mediation analysis such as path analysis and structural equation modeling typically involve specifying two structural models, one for the mediator and the other for the outcome. We employ an alternative approach that avoids some strong identification assumptions invoked by the conventional approaches. By applying a…

In this report, we examine the feasibility of characterizing writing performance using process features derived from a keystroke log. Using data derived from a set of "CBAL"™ writing assessments, we examine the following research questions: (a) How stable are the keystroke timing and process features across testing occasions?; (b) How…

Interest in 21st century skills has brought concomitant interest in ways to teach and measure them. Games hold promise in these areas, but much of their potential has yet to be proven, and there are few examples of how to use the rich data from games to make inferences about players' knowledge, skills, and attributes. This article builds an…

To meet the constantly changing needs of schools and diverse learners, educators must frequently monitor student learning, revise curricula, and improve instruction. Consequently, it is critical that careful analyses of student performance data are ongoing components of curriculum decision-making processes. The primary purpose of this study is to…

This article reports on findings based on analyses of a unique dataset collected by ACT that includes information on student achievement in a variety of subjects at the high-school level. The authors examine the relationship between teacher effect estimates derived from value-added model (VAM) specifications employing different student learning…

The primary purpose of this study was to determine whether the data from the qualitative study fit Rasch model requirements for the definition of a measure, as well as to address concern in the extant literature regarding the appropriate number of items needed in analysis to assure unidimensionality. The self-report victimization scale was…

Youth smoking and physical inactivity are significant public health issues, with implications for both health and education stakeholders, as school-based policies and programs have the potential to reach a broad population of youth to address these issues. Knowledge exchange tools designed around comprehensive school-level data collection systems…