Some patients benefit from a treatment while others may do so less or do not benefit at all. We have previously developed a two-stage network meta-regression prediction model that synthesized randomized trials and evaluates how treatment effects vary across patient characteristics. In this article, we extended this model to combine different…

Purpose: Individual-randomized trials are the gold standard for testing the efficacy and effectiveness of drugs, devices, and behavioral interventions. Health care delivery, educational, and programmatic interventions are often complex, involving multiple levels of change and measurement precluding individual randomization for testing.…

Equity, diversity, and inclusion are frequently on the lips of higher education professionals yet we struggle to infuse these concepts throughout the academy as evidenced in challenges recruiting faculty of color, graduating students of color, and hostile environments reported by students. The authors posit that this is because, to date, most…

This account relates my experiences as facilitator of an action learning set on a DBA cohort comprising international students and myself. It outlines the reasons for my selection as facilitator and describes my initial expectations and assumptions of action learning. I chart the difficulty in separating the 'what' of my own research from the…

The purpose of this article is to share the insights gleaned from the literature and our on-the-ground realities teaching practitioners to conduct educational research and evaluation. We focus on four areas we have found most important for teaching practitioner-scholars: (a) giving careful attention to andragogy versus pedagogy, (b) engaging the…

The lack of diversity among higher-education faculty in science, technology, engineering, and mathematics (STEM) disciplines represents a grave structural inequality with serious consequences for students. Fixing it means rethinking the pathway to the professoriate for women and people of color, and avoiding the problems with hiring in STEM fields…

This article proposes a latent variable regression four-level hierarchical model (LVR-HM4) that uses a fully Bayesian approach. Using multisite multiple-cohort longitudinal data, for example, annual assessment scores over grades for students who are nested within cohorts within schools, the LVR-HM4 attempts to simultaneously model two types of…

This short address by Hunter McEwan provides a background to what a professional practice degree is and discusses some of the accomplishments of the very first group of graduates of the new EdD--the Doctorate in Professional Educational Practice--at the College of Education (COE) at the University of Hawai'i. The COE aimed at building a…

Elucidating the heterogeneous etiologies of autism will require investment in comprehensive longitudinal data acquisition from large community based cohorts. With this in mind, we have established a hospital-university-based (HUB) database of autism which incorporates prospective and retrospective data from a large and ethnically diverse…

Learning Expectations and Academic Preparation (LEAP) was a two-year pilot offering a cohort (20 students) of our lowest scoring English and mathematics developmental students an intensive cross-disciplinary semester to accelerate through their developmental courses. Blending learning community and summer bridge best practices, LEAP incorporated…

Like instruments used in afterschool programs to assess children's social and emotional growth or to evaluate staff members' performance, instruments used to evaluate program quality should be free from bias. Practitioners and researchers alike want to know that assessment instruments, whatever their type or intent, treat all people fairly and do…

The oldest Millennials are now well-established in their careers, requesting flex schedules so they can take their kids to soccer practice in the afternoons; they have little in common with the typical 18- to 22-year-old undergraduate in many college classrooms. For faculty at campuses serving primarily traditional students, it seems like a good…

Multiple imputation (MI), a two-stage process whereby missing data are imputed multiple times and the resulting estimates of the parameter(s) of interest are combined across the completed datasets, is becoming increasingly popular for handling missing data. However, MI can result in biased inference if not carried out appropriately or if the…

This paper contributes to the class size literature by analysing whether short-run class size effects are constant across grade levels in compulsory school. Results are based on administrative data on all pupils enrolled in Danish public schools. Identification is based on a government-imposed class size cap that creates exogenous variation in…

The purpose of this article is to inform researchers about and encourage the use of longitudinal designs to further understanding of human resource development and organizational theory. This article presents information about a variety of longitudinal research designs, related statistical procedures, and an overview of general data collecting…