Scoring high-dimensional assessments (e.g., > 15 traits) can be a challenging task. This paper introduces the multilabel neural network (MNN) as a scoring method for high-dimensional assessments. Additionally, it demonstrates how MNN can score the same test responses to maximize different performance metrics, such as accuracy, recall, or…

The Home Learning Environment (HLE) focuses on everyday learning habits in families to support the development of children's early cognitive competencies. A growing number of studies have assessed the HLE by using different conceptual approaches and various assessment methods, often focusing on either the home literacy environment or the home…

Researchers strategically assess youth mental health by soliciting reports from multiple informants. Typically, these informants (e.g., parents, teachers, youth themselves) vary in the social contexts where they observe youth. Decades of research reveal that the most common data conditions produced with this approach consist of discrepancies…

Triangulation -- a combined use of different assessment methods or sources to evaluate psychological constructs -- is still a rarely used assessment approach in spite of its potential in overcoming inherent constraints of individual assessment methods. This paper uses field test data from a new OECD Study on Social and Emotional Skills to examine…

This paper examines how different test methods may tap different aspects of second language knowledge. It employs multiple-choice (MC) and constructed response (CR) items which yield distinct or convergent information in the computer delivered testing of English in its presentation of this factor. In order to examine the effects of test method, a…