Randomised trials are often funded by commercial companies and methodological studies support a widely held suspicion that commercial funding may influence trial results and conclusions. However, these studies often have a risk of confounding and reporting bias. The risk of confounding is markedly reduced in meta-epidemiological studies that…

More aggregate data on school performance is available than ever before, opening up new possibilities for applied researchers interested in assessing the effectiveness of school-level interventions quickly and at a relatively low cost by implementing comparative interrupted times series (CITS) designs. We examine the extent to which effect…

Many interventions are characterized by repeated observations on the same individuals (e.g., baseline, mid-intervention, two to three post-intervention observations), which offer the opportunity to consider differences in how individuals vary over time. Effective interventions may not be limited to changing means, but instead may also include…

Estimating the efficacy of different instructional modalities, techniques, and interventions is challenging because teaching style covaries with instructor, and the typical student only takes a course once. We introduce the individualized treatment effect (ITE) from analyses of personalized medicine as a means to quantify individual student…

The transition to college is challenging for most students, especially those who aspire to major in the science, technology, engineering, or mathematics disciplines, in which introductory courses can be large and instruction less than optimal. This paper describes a novel, disciplinary first-year seminar (FYS) course, Exploring Biology, designed…

The use of data for adaptive, tailor-made education can be beneficial for students with learning difficulties. While evaluating the effects of a data-based decision-making (DBDM) intervention on student outcomes, considerable variation between intervention effects, ranging from high-intervention effects to small or even negative intervention…

Since MOOC is suffering high dropout rate, researchers try to explore the reasons and mitigate it. Focusing on this task, we employ a composite model to infer behaviors of learners in the coming weeks based on his/her history log of learning activities, including interaction with video lectures, participation in discussion forum, and performance…

Well-designed mathematics instruction focused on concepts and problem-solving skills associated with measurement and data analysis can build a foundational understanding for more advanced mathematics. This study investigated the efficacy of the Precision Mathematics Level 1 (PM-L1) intervention, a Tier 2 print- and technology-based mathematics…

Objective: This article describes the evaluation of permanency roundtables, an intervention to help youth in foster care achieve legal permanency and the challenges evaluators faced in finding and using appropriate comparison data. Method: In 2009, permanency roundtables were conducted for 496 children in Georgia, most of whom had spent extended…

The object of the present study is to propose a technologically based method for developing Regulation of Cognition (RC) among pre-service teachers in a pedagogical problem context. The research intervention was carried out by two groups during a Teaching Training Workshop, based on the IMPROVE instructional method, which was implemented in the…

This article presents the results of a randomized clinical trial evaluating the eight-session "Family Eats" web-based intervention promoting healthy home food environments for African American families. African American families (n = 126) with 8- to 12-year-old children completed online baseline questionnaires and were randomized into…

This study used exploratory data analysis (EDA) to examine the use of a biofeedback intervention in the treatment of anxiety for college students diagnosed with an Autism Spectrum Disorder (ASD) (n = 10) and in a typical college population (n = 37). The use of EDA allowed for trends to emerge from the data and provided a foundation for future…

Objective: Identify disparities by race/ethnicity and obesity status in the consumption of sugar-sweetened beverages (SSBs) and other beverages among United States schoolchildren to help tailor interventions to reduce childhood obesity. Design: Secondary data analysis using beverage intake data from 24-hour dietary recalls and measured height and…

Data use is becoming more important in higher education. In this case study, a team of teachers from a teacher education college was supported in data-based decision making by means of the data team procedure. This data team studied the reasons why students drop out. A team's success depends in part on whether the team is able to develop and apply…

The health promotion laboratory (HPL-Canada) is a public health professional development program building on a collaborative learning approach in order to support long-term practice change in local health services teams. This study aims to analyse the collaborative learning processes of two teams involved in the program during the first year of…