In this study, we examined the scoring and generalizability assumptions of an explicit instruction (EI) special education teacher observation protocol using many-faceted Rasch measurement (MFRM). Video observations of classroom instruction from 48 special education teachers across four states were collected. External raters (n = 20) were trained…

Many high-stakes examinations in the United Kingdom (UK) use both constructed-response items and selected-response items. We need to evaluate the inter-rater reliability for constructed-response items that are scored by humans. While there are a variety of methods for evaluating rater consistency across ratings in the psychometric literature, we…

Research Findings: Given the variable nature of early childhood settings, practitioners and researchers need better guidance on what conditions influence observations conducted within early childhood settings (National Research Council, 2008). Using 230 observations from 23 three- and four-year-old children, we conducted a Generalizability study…

Observations are widely used in research and evaluation to characterize teaching and learning activities. Because conducting observations is typically resource intensive, it is important that inferences from observation data are made confidently. While attention focuses on interrater reliability, the reliability of a single-class measure over the…

Purpose: Estimating the sequential associations between educators' and children's talk during language learning interactions requires careful consideration of factors that may impact measurement stability and resultant inferences. This research note will describe a preliminary study that used generalizability theory to understand the contribution…

Carl Kaestle defines a generalization as "how we know when we know." Kaestle sketches a model of increasing certainty in historical claims as they are developed and refined at increasing scales of research, from local to international. A historical claim might originate in the study of a particular place or case, but to know that the…

This study aims to compare the G and Phi coefficients as estimated by D studies for a measurement tool with the G and Phi coefficients obtained from real cases in which items of differing difficulty levels were added and also to determine the conditions under which the D studies estimated reliability coefficients closer to reality. The study group…

Machine learning has achieved state-of-the-art performance in many areas, including image recognition and natural language processing. However, there are still many challenges and mysteries attracting numerous researchers. This dissertation comprises a series of works concerning problems at the intersection of computer science theory, adversarial…

This article serves as an introduction to the Special Issue on "Decolonizing and Diversifying Research in Cognitive Development." The Special Issue comprises six articles: two articles are empirical articles that focus on executive function development in under-represented environments, two articles address barriers pathways toward…

Game-based assessment (GBA), a specific application of games for learning, has been recognized as an alternative form of assessment. While there is a substantive body of literature that supports the educational benefits of GBA, limited work investigates the validity and generalizability of such systems. In this paper, we describe applications of…

Background/Context: Previous research in educational assessment has consistently emphasized the importance of reliability as a cornerstone of test quality. Traditional measures of reliability, such as test-retest and split-half reliability, offer a broad view of how internally consistent a measure is but overlook the variability in this internal…

Writing assessments often consist of students responding to multiple prompts, which are judged by more than one rater. To establish the reliability of these assessments, there exist different methods to disentangle variation due to prompts and raters, including classical test theory, Many Facet Rasch Measurement (MFRM), and Generalizability Theory…

Likert-type item is the most popular response format for collecting data in social, educational, and psychological studies through scales or questionnaires. However, there is no consensus on whether parametric or non-parametric tests should be preferred when analyzing Likert-type data. This study examined the statistical power of parametric and…

Students often believe that statistical significance is the only determinant of whether a quantitative result is "important." In this paper, I review traditional null hypothesis statistical testing to identify what questions inferential statistics can and cannot answer, including statistical significance, effect size and direction,…

Teacher evaluation systems often include classroom observations in which raters use rating scales to evaluate teachers' effectiveness. Recently, researchers have promoted the use of multifaceted approaches to investigating reliability using Generalizability theory, instead of rater reliability statistics. Generalizability theory allows analysts to…