To solve the attenuation paradox in computerized adaptive testing (CAT), this study proposes an item selection method, the integer programming approach based on real-time test data (IPRD), to improve test efficiency. The IPRD method turns information regarding the ability distribution of the population from real-time test data into feasible test…

During the COVID-19 pandemic, education systems policymakers realized the importance of being able to communicate using technology and to fulfill their academic obligations. As a consequence, a different approach to education followed: blended learning. A literature review revealed a lack of psychometric tools related to blended teaching readiness…

We report results from this psychometric study examining convergent validity between internalizing subscale (SRSS-I4) scores from the revised version of the teacher-completed Student Risk Screening Scale for Internalizing and Externalizing behavior (SRSS-IE 9) and the internalizing subscale from the Teacher Report Form (TRF). Using the sample of…

Curriculum-based measurement in reading (CBM-R) is a commonly used tool for universal screening and progress monitoring in K-12 education and is one that can add value to decision-making. However, the social validity of this measure among teachers is often questioned. Reasons some teachers have traditionally opposed the use of CBM-R have included…

A tension raised in recent scholarship is that between numeracy as a social practice and numeracy as a functional skill set. Such frameworks for conceptualizing numeracy pose a challenge to assessment because what individuals do with numeracy is not the same as what individuals can do (or express) in an assessment setting. This study builds on…

We report the results of a convergent validity study examining the externalizing subscale (SRSS-E5, five items) of the adapted Student Risk Screening Scale for Internalizing and Externalizing (SRSS-IE 9) with the externalizing subscale of the Teacher Report Form (TRF) with two samples of K-12 students. Results of logistic regression and receiver…

Background: Assessing individual and organisational capacity for evidence use is essential for developing evidence-based strategies. Aims and objectives: This study aimed to assess the psychometric and practical properties of existing tools to assess the capacity to use evidence at the individual and organisational levels of health policy and…

Sound measurement of teacher self-efficacy and anxiety surrounding data-driven decision making is crucial in both theory-building and efficacy studies, as well as in practical contexts. The present study (N=457) thusly examined the validity of inferences drawn from the Data-Driven Decision-Making Efficacy and Anxiety Inventory (3D-MEA; Dunn et…

International large-scale assessments (ILSAs) transitioned from paper-based assessments to computer-based assessments (CBAs) facilitating the use of new item types and more effective data collection tools. This allows implementation of more complex test designs and to collect process and response time (RT) data. These new data types can be used to…

This quantitative study explored the statistical relationship between American Association of Community Colleges (AACC) leadership competencies and data-driven decision making (DDDM) literacy among rural community college leaders in the Midwest. Specifically, the authors examined how AACC community college leadership competencies may predict the…

We collected data from 691 teachers from 139 schools in Michigan to validate the instrument titled Data-informed Decision-making on High-impact Strategies, designed based on Marzano's (2003) 11 high-impact strategies. Results of confirmatory factor analysis strongly supported the 11-factor model as the most valid approach to measure teachers'…