Purpose: This tutorial outlines an approach for best practices for speech-language pathology assistants (SLPAs) to collect data and document services. The tutorial outlines methods for developing accurate and effective data collection skills and provides instructions and tools for collecting various types of data. The authors discuss the…

Organizations are keenly interested in data gathering from websites where discussions of products and brands occur. This increasingly means that programmers need an understanding of how to work with website application programming interfaces (APIs) for data acquisition. In this hands-on lab activity, students will learn how to gather data from…

Background: Views can be collected from individuals (self-report) or others on their behalf (proxy-report). Objective: We aimed to review the literature on methods and statistical approaches used to evaluate observer versus self-report responses from individuals with intellectual disability or Down syndrome. Methods: A series of key questions…

The final year of a biochemistry degree is usually a time to experience research. However, laboratory-based research projects were not possible during COVID-19. Instead, we used open datasets to provide computational research projects in metagenomics to biochemistry undergraduates (80 students with limited computing experience). We aimed to give…

The impact of data analytics on the accounting profession has been discussed for more than 15 years, accompanied by increasingly fervent calls from employers for an escalating level of data analytic skills in accounting program graduates. The authors provide an in-depth examination of the incorporation of data analytic skills included in the…

When Nia Thornton became an assistant principal at Central Gwinnett High School in Georgia, one of her responsibilities was to lead professional learning for the school staff. She and the school leadership team were excited engage the staff in meaningful, day-to-day learning. They knew that their work needed to be rooted in current research and…

This colloquium shares experiences from doing ethnographic fieldwork with young children and the challenges that followed due to the COVID-19 pandemic. The project DIGIKIDS Sweden has its focus on very young children (birth to three years) and their engagement with digital media technologies in their homes. The pandemic put the project on hold,…

Meta-analysis is a widely used methodology to combine evidence from different sources examining a common research phenomenon, to obtain a quantitative summary of the studied phenomenon. In the medical field, multiple studies investigate the effectiveness of new treatments and meta-analysis is largely performed to generate the summary (average)…

COVID-19 pandemic policies requiring disease testing provide a rich context to build insights on true positives versus false positives. Our main contribution to the pedagogy of data analytics and statistics is to propose a method for teaching updating of probabilities using Bayes' rule reasoning to build understanding that true positives and false…

With student and staff wellbeing a growing concern, several authors have asked whether existing data might help institutions provide better support. By analogy with the established field of Learning Analytics, this might involve identifying causes of stress, improving access to information for those who need it, suggesting options, providing rapid…

In this article, we offer a teaching lesson on combinatorics and binary outcomes that utilizes real-world data. The focus of the lesson is to teach students how to analyze the effects of the National Basketball Association's (NBA) 2003 decision to extend the first round of its postseason from a best-of-five series of games to a best-of-seven…

With multiple sources of information available, knowing how to use data efficiently and effectively with limited resources is critical to the successful implementation of school-wide, classroom, and individual interventions. In this practice guide, we describe a scientifically-based approach for data-based decision-making called Team-Initiated…

The application of item response theory (IRT) is almost universal in the development, implementation, and maintenance of large-scale assessments. Therefore, establishing the fit of IRT models to data is essential as the viability of calibration and equating implementations depend on it. In a typical test administration situation, measurement…

Reliability indicates the internal consistency of a test. In educational studies, reliability is a key feature for a test. Researchers have proposed many traditional reliability estimates, such as coefficient alpha and coefficient omega. However, traditional reliability indices do not deal with the data hierarchy, even though the multilevel…

It is critical for institutions of higher education to establish comprehensive data governance systems to effectively utilize and manage their valuable data assets (Jim & Chang, 2018; Khatri & Brown, 2010). Practical data governance strategies provide the structure that institutions need to address common challenges (Elouazizi, 2014).…