This paper characterizes the ways in which increased attention to response process data has implications for psychometrics. To do so, this work draws on two organizing frameworks that have heretofore not been associated: evidence-centered design, and the distinction between greater and lesser statistics. Overlaying these frameworks leads to a…

Thanks to COVID-19, schools were closed and tests were canceled. The result is that we may not see test-taking data typically seen before. For some analyses, sample sizes may not meet the minimum requirement. For others, the sample of test-takers may be different from previous years. In some situation, there may be no data at all. What do we do in…

In this essay review, we first historicize how the OECD (Organization for Economic Co-operation and Development) rose to be a global education policy actor and authority from a historical, comparative, and international perspective. Subsequently, we sketch out the global educational governing mechanisms developed by the OECD, which include but are…

Onwuegbuzie and Hitchcock (2015) provided an initial framework for conceptualizing and conducting advanced-level mixed analysis approaches. In the present article, we build on these efforts by altering the framework to focus on crossover analyses, which might help analysts see the various component steps that can go into crossover analyses and…

Changing criterion designs (CCD) are single-case experimental designs that entail a step-by-step approximation of the final level desired for a target behavior. Following a recent review on the desirable methodological features of CCDs, the current text focuses on an analytical challenge: the definition of an objective rule for assessing the…

Teaching students to reason with data is not a totally new enterprise. A small but insistent statistics education community has been studying the process for decades. This commentary provides an introduction to some major themes of that research, in order to provide common ground for conversations between learning sciences researchers and those…

Classroom observation data using tools such as the Classroom Observation Protocol for Undergraduate STEM (COPUS) are frequently collected in instructional settings for large-scale research studies and program assessment. While COPUS data may be provided to instructors, it is often provided with little or no guidance on how the data can be used to…

Program "profiles" are one-page summaries that highlight the components of each teacher retention strategy or program. Similar to a logic model, program profiles make it easy to understand what components define the program; the direct results of the program component(s); and what the program is collecting, documenting, or measuring to…

Supervised machine learning has become one of the most important methods for developing educational and intelligent tutoring software; it is the backbone of many educational data mining methods for estimating knowledge, emotion, and other aspects of learning. Hence, in order to ensure optimal utilization of computing resources and effective…

The last two decades have witnessed a quick shift from pen-and-paper writing to computer keyboard writing. Corresponding to this shift in the writing medium are vigorous research efforts to understand new features of writing in computer keyboard settings. Using Inputlog7.0, this study investigated the writing process of 60 Chinese English as a…

The appointment of the University of Waikato's first Assistant Vice-Chancellor Pacific in February 2019 was an important milestone, not only recognising years of work and dedication by numerous Pacific and Maori staff, but triggering a new strategic direction for 'Pacific at Waikato'. This paper explains that journey, one that is underpinned by…

This dissertation's two primary purposes were to construct an alternative socioeconomic status model and estimate how it predicts student success in higher education. This research filled a gap in knowledge about the widely acknowledged disparities in higher education based on socioeconomic status. Prior research has often relied on parental…

The world of work is being impacted by a fourth industrial revolution, transformed by artificial intelligence and other emerging technologies. With forecasts suggesting large shares of workers, displaced by automation, in need of upskilling/reskilling, the design of active skills policies is necessary. Conventional methods used to anticipate…

The North Dakota Department of Public Instruction (NDDPI) periodically assesses the needs of early childhood and K-12 students and educators regarding literacy instruction. These periodic assessments assist NDDPI with meeting the needs of educators and the students they serve through grants and other programs and opportunities. This report reviews…

In this commentary, we briefly describe our methodology in conducting a remote qualitative investigation with essential workers from southwest Kansas, and then describe some key considerations, challenges, and lessons learned in recruiting and conducting interviews remotely. From August 4, 2020 through August 26, 2020, Centers for Disease Control…