The rapid evolution of artificial intelligence (AI) has created an unprecedented opportunity for innovation across industries, but its complexity often presents a steep learning curve for many (Roberts & Candi, 2024; Gunner, 2025). This highlights the need for user-friendly tools that bridge the gap between AI's potential and its practical…

Conditional process models, including moderated mediation models and mediated moderation models, are widely used in behavioral science research. However, few studies have examined approaches to conduct statistical power analysis for such models and there is also a lack of software packages that provide such power analysis functionalities. In this…

Single case experimental designs are an important research design in behavioral and medical research. Although there are design standards prescribed by the What Works Clearinghouse for single case experimental designs, these standards do not include statistically derived power computations. Recently we derived the equations for computing power for…

The Goal-Setting Challenge App (GSC App) translates the Self-Determined Learning Model of Instruction (SDLMI) to a web-based format, shifting responsibility from teachers to technology to address challenges in scaling-up implementation. The present descriptive study examines transition-age U.S. students' responses to GSC App lessons to explore the…

Structural equation modeling (SEM) is widely used in behavioral, social, and education research. Drawing publication-ready path diagrams for SEM is not a pleasant task with the existing software. The article introduces an open-source web-based graphical application, "semdiag," for drawing WYSIWYG SEM path diagrams interactively. The…

When designing a study for causal mediation analysis, it is crucial to conduct a power analysis to determine the sample size required to detect the causal mediation effects with sufficient power. However, the development of power analysis methods for causal mediation analysis has lagged far behind. To fill the knowledge gap, I proposed a…

Promoting student self-determination is recognized as the best practice in secondary transition planning. Few self-determination interventions have utilized technology to provide individualized learning opportunities. The Goal Setting Challenge (GSC) App was developed to provide a technology-based instructional approach to support developing…

Online parenting interventions hold promise for increasing access to behavioral support for families with low income and who reside in rural areas. The current study evaluates the efficacy of a mobile app-based parenting support program, the Family Check-Up Online (FCU-O) with telehealth coaching support, for parents of children 1.5-5 years old at…

There is scant empirical work on associations between current and past cannabis use in parents of young children. As recreational cannabis use is now legal in nearly half of states in the U.S., cannabis use is becoming more ubiquitous. In the current study, parents of toddler and pre-school age children were randomly assigned to participate in an…

The COVID-19 outbreak emphasizes the need for alternative methods for data gathering and collaboration among researchers in a virtual research environment. One experimental design that is well suited in a social distancing research context is the single-case experimental design (SCD). SCDs can handle disruptions as: (a) they do not require large…

The aim of this study was to explore how the Coding as Another Language (CAL) curriculum, developed by Boston College's DevTech Research Group and utilizing the ScratchJr app, impacted students' computational thinking, coding skills, and reading comprehension. To accomplish this, the research team randomly assigned thirteen schools in a…

In three studies, we examined children's geography learning from a physical puzzle and an app designed to mimic the puzzle. In Study 1, 5- and 6-year-olds were taught Australia's states by an experimenter using a puzzle or were taught by an app. Children learned significantly more states from instruction with the puzzle than when they used the app…

Objective: To assess the convergent validity and reliability of joint angle measurements from a new video goniometer iPhone/iPad application separately in adults, older and young children. Design: Cross-sectional. Setting: Child care and university environments. Participants: Fifty-four adults (mean SD=22.5 [plus or minus] 4.5y), 20 older children…

Digital media is becoming increasingly prevalent in households and classroom settings lowering the age of first exposure to technology; however, little is known about how children experience digital media and how their experiences relate to learning and social engagement. In this case study, we followed a 28-month-old boy in a naturalistic setting…

In writing studies research, automated writing evaluation technology is typically examined for a specific, often narrow purpose: to evaluate a particular writing improvement measure, to mine data for changes in writing performance, or to demonstrate the effectiveness of a single technology and accompanying validity arguments. This article adopts a…