Even small monetary incentives, e.g., a one-dollar bill in a postal invitation letter, can increase the response rate in a web survey. However, in the euro currency area, the smallest amount of monetary incentive for a postal invitation is a five-euro bill, which is costly. As such, we conducted a random experiment with prepaid stamp and postcard…

In the context of an afterschool program in which students explore relatively large authentic datasets, we investigated how 11- to 14-year old students worked with categorical variables. During the program, students learned to use the Common Online Data Analysis Platform (CODAP), a statistical analysis platform specifically designed for middle and…

This paper presents credible and comparable evidence on intergenerational educational mobility in 53 developing countries using sibling correlation as a measure, and data from 230 waves of Demographic and Health Surveys. It is the first paper to provide estimates of sibling correlation in schooling for a large number of developing countries using…

With sport now fully immersed in the era of big data, there is a need for sport managers who are data literate and, therefore, capable of collecting, managing, evaluating, and applying data to the range of problems and scenarios encountered by industry personnel. However, many in the sport management academy remain unacquainted with the…

This dissertation will address the questions: In what ways can MBR theory be applied to design training that will improve the capacity of Citizen scientists to collect and analyze high quality scientific data?; To what degree does this training impact their ability to formulate complex understandings of environmental problems in their Citizen? The…

This research note argues the outdoor adventure profession needs census research studies. Although conceptually simple, a census is a laborious process needing methodological guidance. This paper provides suggestions for conducting a census. Four previous outdoor adventure census projects are referenced. These, along with the U.S. Census, are used…

This conceptual framework aims to build a shared and comprehensive understanding of what constitute EiE data and of the concepts and processes that underpin and guide work on education in emergencies data across a range of contexts, including acute emergencies, protracted crises, and displacement. The framework also presents a number of strategic…

There is growing consensus that data-informed decision-making through human-centered inquiry and design process results in improved outcomes for designed artifacts. Among the latest trends is a group of tools and processes loosely assimilated under the umbrella term, "design thinking." These "designerly ways of knowing" are…

The main aim of this study was to introduce the ConQuest program, which is used in the analysis of multivariate and multidimensional data structures, and to show its applications on example data structures. To achieve this goal, a basic research approach was applied. Thus, how to use the ConQuest program and how to prepare the data set for…

Blended learning, which is the "thoughtful fusion of face-to-face and online learning experiences" (Garrison & Vaughan, 2008), is a pedagogical paradigm used in courses across numerous disciplines. In this paper, the use of LinkedIn Learning modules as the primary technological component is described; the focus of this first-time use…

The article describes a systematic review of 109 studies using the data-informed decision-making framework to understand the sources of assessment data and the main purposes for assessment use among early childhood educators. Findings revealed assessment use is driven by the purposes of measuring and monitoring children's learning and development,…

The COVID-19 public health emergency has been characterized by an abundance of data in the form of numbers and charts. Although these data are readily available, there have been challenges associated with their interpretation--exacerbated by generally low numeracy rates. Consequently, people may underestimate the speed at which the disease spreads…

The issue of missing data raises concerns in all statistical and educational research. In this study, we focus on missing data in school-based assessment data generated by progressed high school learners (those who did not meet the promotional requirements for their current grades but were allowed to move to the next grade because of policy…

While digital tools are often recommended for researchers, there is a lack of evidence around effective social media strategies among researchers to optimise participant recruitment and data collection. However, an 'add Facebook and stir' approach could create extra burden for participants or foil researchers' efforts. Participant recruitment…

In the last few years, Qualitative Comparative Analysis (QCA) has become one of the most important data analysis methods in comparative research. According to the guidelines of this method, there are certain steps that a researcher needs to follow, before causally analyzing the data for necessary and sufficient conditions. One of these steps is…