The goal of creating evidence-based programs is to scale them at sufficient breadth to support population-level improvements in critical outcomes. However, this promise is challenging to fulfill. One of the biggest issues for the field is the reduction in effect sizes seen when a program is taken to scale. This paper discusses an economic…

Researchers frequently use Mokken scale analysis (MSA), which is a nonparametric approach to item response theory, when they have relatively small samples of examinees. Researchers have provided some guidance regarding the minimum sample size for applications of MSA under various conditions. However, these studies have not focused on item-level…

Cloud computing-based online education has played a vital role in enabling uninterrupted learning during crises such as the COVID-19 pandemic. This study explored the key variables associated with cloud computing that can effectively support the operation of online education platforms. By analyzing real data from 63 online learning platforms, the…

Teaching codes of conduct form part of the ethics infrastructure of universities seeking to raise teaching standards and promote academic integrity. This study investigated the existence of publicly posted codes of conduct for undergraduate teaching in a random sample of 100 universities ranked among the Times Higher Education World University…

In order for multi-institutional STEM education collaborations to scale justice-oriented change, the infrastructures they depend on must be designed--or redesigned--with equity and inclusion in mind. This article focuses on one interinstitutional collaboration as an example: the Sloan Equity and Inclusion in STEM Introductory Courses (SEISMIC)…

Innovative staffing models are promising, but challenging to scale up. What does the work of leading strategic staffing involve, and what could make scaling up easier? This report digs deep into the many challenges system leaders face when scaling up innovative staffing solutions. These leaders are trying to address longstanding teacher shortages…

We introduce a novel type of assessment that allows for efficient grading of higher order thinking skills. In this assessment, a student reviews and corrects a technical memo that has errors in its formulation or process. To overcome the grading challenges imposed by essay-type responses in large undergraduate courses, we provide a Visual Basic…

In the fall of 2019, the City University of New York (CUNY) Office of Academic Affairs (OAA) provided colleges with updated guidance for designing and delivering evidence-based corequisite courses and set a timeline for the phaseout of traditional, standalone remediation by fall 2022. This CAPR report describes findings from research exploring the…

Data in social and behavioral sciences typically contain measurement errors and do not have predefined metrics. Structural equation modeling (SEM) is widely used for the analysis of such data, where the scales of the manifest and latent variables are often subjective. This article studies how the model, parameter estimates, their standard errors…

Data in social and behavioral sciences typically contain measurement errors and do not have predefined metrics. Structural equation modeling (SEM) is widely used for the analysis of such data, where the scales of the manifest and latent variables are often subjective. This article studies how the model, parameter estimates, their standard errors…

Educational large-scale assessments (LSAs) often provide plausible values for the administered competence tests to facilitate the estimation of population effects. This requires the specification of a background model that is appropriate for the specific research question. Because the "German National Educational Panel Study" (NEPS) is…

A voluminous empirical literature has examined scale economies in public organisations, particularly in local government. By contrast, little effort has been directed at the empirical investigation of economies of scale in higher education administration, including in Australian universities. To address this gap in the empirical literature, this…

In this digital age, there is an abundance of online educational materials in public and proprietary platforms. To allow effective retrieval of educational resources, it is a necessity to build keyword-based search engines over these collections. In modern Web search engines, high-quality rankings are obtained by applying machine learning…

Purpose: The purpose of this project was (1) to collaborate with public preschool programs to adapt, test, and revise the implementation model of an innovative early mathematics intervention, "Pre-K Mathematics" and (2) to determine whether this model makes it possible for local programs to sustain their implementation without reducing…

This paper argues for scalar analysis as a framework for understanding negotiations of competing ideological demands and power relationships in teacher learning. Two illustrative examples are presented, including video data of a student teacher (Camille) attempting to integrate multimodal and digital literacy practices into their instruction, and…