With the advent of readily accessible generative artificial intelligence (GAI), a concern exists within the academic community that research data collected in the context of conducting doctoral dissertation research is authentic. The purpose of the present study was to explore the role of GAI in the production of new research paying particular…

Gamification has gained an increasing attention from researchers and practitioners in various domains including education as it can increase learners' engagement and motivation. However, little is known about how educational gamification experiences can be influenced by learners' characteristics. Therefore, this study provides a systematic…

During the last decades, a large body of research has contributed to knowledge on the teacher-student relationship (TSR). However, more research is needed regarding TSR as constructed in interaction and on developing methods for investigating such processes. This paper outlines a method for detailed, close interpretation and analysis of TSR,…

This essay describes the design, and subsequent redesign, of the research methods courses included in an Instructional and Performance Technology (IPT) EdD program at a regional comprehensive university in the southeast United States. The program under examination was developed based on the principles of the Carnegie Project for the Education…

Not knowing the population size is a common problem in data-limited contexts. Drawing on work in Sierra Leone, this short take outlines a four-step solution to this problem: (1) estimate the population size using expert interviews; (2) verify estimates using interviews with participants sampled; (3) triangulate using secondary data; and (4)…

Conducting research among hard-to-reach populations is a difficult endeavor because some of their characteristics are known to be associated with survey nonresponse and panel attrition. In the case of the Parchemins study, which followed undocumented migrants over their process of regularization and during the first years of regularized life in…

As Twitter's (or X's) influence permeates aspects of education, researchers must consider how to ethically and effectively leverage the unique types of data that this social media platform offers. This paper provides recommended methodological practice considerations for working with qualitative Twitter data toward the advancement of education…

The Imitation Game is a new method and, as such, it is important to show that its results are plausible and replicable. We tested this by conducting Imitation Games on religion in a range of European countries, returning approximately 12 months later to repeat the research. The idea was that non-Christian members of strongly Christian countries…

Single-case design is a research methodology that entails repeated measurement to assess the influence of an independent variable on a dependent variable over time. Data collected in this manner are regularly analyzed using visual analysis of data displayed in a linear graph. Although there is agreement regarding critical elements of visual…

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…

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…

Undergraduate economics programs prepare students for future careers by developing competency working with data, or "data literacy." Our research examined the data literacy components of undergraduate economics programs at R1 and R2 universities in the United States (N = 190). We developed a protocol with core data skills and coded…

Managing and analysing large qualitative datasets pose a particular challenge for researchers seeking a consistent and rigorous approach to qualitative data analysis. This paper describes and demonstrates the development and adoption of a matrix tool to guide the qualitative data analysis of a large sample (N = 122) of interview data. The paper…

The American Family Health Study (AFHS) collected family health and fertility data from a national probability sample of persons aged 18-49 between September 2021 and May 2022, using web and mail exclusively. In July 2022, we surveyed AFHS respondents and gauged their willingness to become part of a national web panel that would create novel…

This study provides a picture of the impact the novel Coronavirus (COVID-19) had on action research performed by graduate students at a small Midwest university. A qualitative case study was conducted to examine how the participants' abilities to implement their research, gather data, and analyze the results was impacted by COVID-19. Research…