This article presents some equivalent forms of the common Kuder-Richardson Formula 21 and 20 estimators for nondichotomous data belonging to certain other exponential families, such as Poisson count data, exponential data, or geometric counts of trials until failure. Using the generalized framework of Foster (2020), an equation for the reliability…

For assessments that use different forms in different administrations, equating methods are applied to ensure comparability of scores over time. Ideally, a score scale is well maintained throughout the life of a testing program. In reality, instability of a score scale can result from a variety of causes, some are expected while others may be…

Generalizability theory is a modern, powerful, and broad framework used to assess the reliability, or dependability, of measurements. While there exist classic works that explain the basic concepts and mathematical foundations of the method, there is currently a lack of resources addressing computational resources for those researchers wishing to…

With the advent of big data and advances in technology, psychological assessments have become increasingly sophisticated and complex. Nevertheless, traditional psychometric issues concerning the validity, reliability, and measurement bias of such assessments remain fundamental in determining whether score inferences of human attributes are…

With the exponential increase in the volume of data available in the 21st century, data literacy skills have become vitally important in work places and everyday life. This paper provides a systematic review of available data literacy assessments targeted at different audiences and educational levels. The results can help researchers and…

Summit Public Schools (SPS), a California-based charter school network established in 2003, is widely promoted nationally as a success story to be emulated. A policy environment friendly to charter schools and digital technologies, together with hundreds of millions of dollars in technology industry contributions, enabled its growth and its…

The growing interest of educational researchers in computational thinking (CT) has led to an expanding literature on assessments of CT skills and attitudes. However, few studies have examined whether CT attitudes influence CT skills. The present study examines the relationship between CT attitudes and CT skills for preservice teachers (PSTs). The…

The disadvantages of the usual linear least-squares analysis of first- and second-order kinetic data are described, and nonlinear least-squares fitting is recommended as an alternative.

Student agency, or the ability to manage one's learning, can have significant effects on academic achievement as students take an active role in seeking and internalizing new knowledge. Students who believe that knowledge can grow over time perform better on IQ tests than students who believe intelligence is invariable (Cury, Elliot, Da Fonseca,…

Although there is a strong legislative base and perceived efficacy for multidisciplinary team decision making, limited evidence supports its effectiveness or consistency of implementation in practice. In recent research, we used the Decision Observation, Recording, and Analysis (DORA) tool to document activities and adult behaviors during positive…

The implementation of data-driven decision-making practices (DDDM) is a key component of contemporary teachers' professional practice. As such, the measurement of DDDM and related constructs is important for multiple purposes in both research and practice (e.g., identifying teacher needs around DDDM, and monitoring teacher change in response to…

The Early Fractions Test v2.2 is a paper-pencil test designed to measure mathematics achievement of third- and fourth-grade students in the domain of fractions. The purpose, or intended use, of the Early Fractions Test v2.2 is to serve as a measure of student outcomes in a randomized trial designed to estimate the effect of an educational…

This dissertation is developed around two studies created with the goal of describing and quantifying current educators' knowledge and perceptions of reading assessment and subsequent data-based instructional decision making. Unique to the field, a critical component of this study is an emphasis on educators' development of "data…

School teams regularly meet to review academic and social problems of individual students, groups of students, or their school in general. While the need for problem solving and recommendations for how to do it are widely documented, there is very limited evidence reflecting the extent to which teams effectively engage in a systematic or effective…

Data driven decision making emphasizes the importance of the teacher using objective sources of information in developing the social studies curriculum. Too frequently, decisions of teachers have been made based on routine and outdated methods of teaching. Valid and reliable tests used to secure results from pupil learning make for better…