When designing or modifying a test, an important challenge is controlling its speededness. To achieve this, van der Linden (2011a, 2011b) proposed using a lognormal response time model, more specifically the two-parameter lognormal model, and automated test assembly (ATA) via mixed integer linear programming. However, this approach has a severe…

Detection methods for item preknowledge are often evaluated in simulation studies where models are used to generate the data. To ensure the reliability of such methods, it is crucial that these models are able to accurately represent situations that are encountered in practice. The purpose of this article is to provide a critical analysis of…

This theoretical article proposes a unified framework of analysis for the constructs of intelligence and creativity. General definitions for intelligence and creativity are provided, allowing fair comparisons between the two context-embedded constructs. A novel taxonomy is introduced to classify the contexts in which intelligent and/or creative…

The empirical literature on academic intervention has increasingly promoted comparative research, moving the field forward in addressing the question, "What works best?" Poncy et al. (2015), Skinner (2008, 2010), and Skinner, Fletcher, and Henington (1996) have suggested that researchers enhance traditional evaluations of learning…

Forced-choice (FC) measures have been widely used in many personality or attitude tests as an alternative to rating scales, which employ comparative rather than absolute judgments. Several response biases, such as social desirability, response styles, and acquiescence bias, can be reduced effectively. Another type of data linked with comparative…

A goal of some functional analysis (FA) variations is to reduce assessment time while still maintaining efficacy. This may be especially important when conducting FAs in early intervention programs, where time is a crucial commodity. To that end, we evaluated a model for using the results of the no-interaction condition as a screening for…

Response time has started to play an increasingly important role in educational and psychological testing, which prompts many response time models to be proposed in recent years. However, response time modeling can be adversely impacted by aberrant response behavior. For example, test speededness can cause response time to certain items to deviate…

Social scientists have frequently sought to understand the distinct effects of age, period, and cohort, but disaggregation of the three dimensions is difficult because cohort = period - age. We argue that this technical difficulty reflects a disconnection between how the cohort effect is conceptualized and how it is modeled in the traditional…

In this article the role of Human Resource Management (HRM) in the UK Higher Education (HE) sector is interrogated, with a focus on the Gig Academy. A literature review of the casualisation of academics in the sector is undertaken and critiqued through the consultative unitarist values and behaviours of the Chartered Institute of Personnel and…

In the last decade, some in the field of leisure studies have embraced the experience economy/industry model introduced by Pine and Gilmore (2011) in the late 1990s. While tenets of the experience industry can be found earlier in leisure studies, especially in regards to programing and event management, the idea that experiences should be…

For more than a century, numerous studies examined and reported how principals allocated their time. Assuming that differences in selection, participation and satisfaction of tasks by principals resulted in different outcomes, researchers have continued to study principal time use. In 1989, Wimpelberg, Teddlie, and Stringfield indicated a need for…

In this article, we assess an alternative account of a key experimental pattern thought to index top-down control. The list-wide proportion congruence effect is the well-documented pattern whereby the congruency effect (i.e., Stroop effect) is attenuated in lists containing mostly incongruent trials relative to lists containing mostly congruent…

Knowledge tracing allows Intelligent Tutoring Systems to infer which topics or skills a student has mastered, thus adjusting curriculum accordingly. Deep Knowledge Tracing (DKT) uses recurrent neural networks (RNNs) for knowledge tracing and has achieved significant improvements compared with models like Bayesian Knowledge Tracing (BKT) and…

This paper is a call to action to engage readers in cultivating reflective practice. The demands of a rapidly changing global society, the influences on emerging learning and teaching landscapes, and the ubiquity of information in twenty-first century society are catalysts for this focus on reflection. The author conducted a literature review,…

In this paper, we estimate a rich model of college major choice using a panel of experimentally-derived data. Our estimation strategy combines two types of data: data on self-reported beliefs about future earnings from potential human capital decisions and survey-based measures of risk and time preferences. We show how to use these data to…