We review common situations in Bayesian latent variable models where the prior distribution that a researcher specifies differs from the prior distribution used during estimation. These situations can arise from the positive definite requirement on correlation matrices, from sign indeterminacy of factor loadings, and from order constraints on…

This article builds upon a proiminent definition of construct validity that focuses on variation in attributes causing variation in measurement outcomes. This article synthesizes the defintion and uses Rasch measurement modeling to explicate a modified conceptualization of construct validity for assessments of developmental attributes. If…

Debates over identification procedures for gifted and talented students dominate the field and serve as the topic of many of its internal and external debates. We believe this is due to a lack of commonly accepted criteria for how to evaluate identification procedures. In this article, we present the Cost, Alignment, Sensitivity, and Access (CASA)…

The heterogeneous nature of Autism Spectrum Disorder (ASD) makes accurate diagnosis challenging. Best practice assessments in schools can open pathways to appropriate interventions and educational placements for those with ASD, as well as help identify a student's strengths. There are various tools used in school settings to assess autism. In this…

Evidence-based assessment (EBA) requires that investigators employ scientific theories and research findings to guide decisions about what domains to measure, how and when to measure them, and how to make decisions and interpret results. To implement EBA, investigators need high-quality assessment tools along with evidence-based processes. We…

Physical literacy serves as the foundation for several skills or attributes needed for lifelong physical activity participation. Based on its connection to physical activity, physical literacy has been associated with a wide variety of positive health outcomes. While research suggests that teachers play a crucial role in fostering children's…

Structural equation models comprise a large class of popular statistical models, including factor analysis models, certain mixed models, and extensions thereof. Model estimation is complicated by the fact that we typically have multiple interdependent response variables and multiple latent variables (which may also be called random effects or…

The Measures for Early Success Initiative aims to reimagine the landscape of early learning assessments for the millions of 3- to 5-year-olds enrolled in Pre-K, so that more equitable data can be applied to meaningfully support and strengthen early learning experiences for all young children. This document outlines design parameters for child…

Classroom assessment and large-scale assessment have, for the most part, existed in mutual isolation. Some experts have felt this is for the best and others have been concerned that the schism limits the potential contribution of both forms of assessment. Margaret Heritage has long been a champion of best practices in classroom assessment. Neal…

Game-based assessments will most likely be an increasing part of testing programs in future generations because they provide promising possibilities for more valid and reliable measurement of students' skills as compared to the traditional methods of assessment like paper-and-pencil tests or performance-based assessments. The current status of…

Serious games are increasingly being explored for use as assessment tools in broad domains. Drawing from research in these domains, we present important advantages and challenges that arise when using games for assessment. In light of this context and as an introduction to this special issue on Serious Games and Assessments, we introduce the…

The Objective Structured Clinical Examination (OSCE) is a ubiquitous part of medical education, although there is some debate about its value, particularly around possible impact on learning. Literature and research regarding the OSCE is most often situated within the psychometric or competency discourses of assessment. This paper describes an…

Factor analysis is a versatile class of psychometric techniques used by researchers to provide insight into the psychological dimensions (factors) that may account for the relationships among variables in a given dataset. The primary goal of a factor analysis is to determine a more parsimonious set of variables (i.e., fewer than the number of…

In this article I provide an overview of the methodological issues involved in measuring constructs relevant to character development and education. I begin with a nontechnical overview of the 3 fundamental psychometric properties of measurement: reliability, validity, and equivalence. Developing and evaluating measures to ensure evidence of all 3…

School psychologists typically conduct psychological and psychoeducational assessments, provide prevention and intervention services, and consult and collaborate with allied professionals (e.g., teachers, physicians, psychiatrists, physiotherapists, occupational therapists, social workers, and nurses) and parents toward better understanding and…