An important step when designing an empirical study is to justify the sample size that will be
collected. The key aim of a sample size justification for such studies is to explain how the …

Construction workers' cognitive statuses affecting their safety and productivity are essential
for successful construction management. Electroencephalogram (EEG) provides a potential …

Research has consistently shown that access to parks and gardens is beneficial to people's
health and wellbeing. In this paper, we explore the role of both public and private green …

Amid increased acts of violence against telecommunication engineers and property, this pre‐
registered study (N= 601 Britons) investigated the association between beliefs in 5G COVID …

Mixed-effects models are a powerful tool for modeling fixed and random effects
simultaneously, but do not offer a feasible analytic solution for estimating the probability that …

The spread of AI-embedded systems involved in human decision making makes studying
human trust in these systems critical. However, empirically investigating trust is challenging …

Power analysis for first-order interactions poses two challenges:(a) Conducting an
appropriate power analysis is difficult because the typical expected effect size of an …

Researchers often rely on analysis of variance (ANOVA) when they report results of
experiments. To ensure that a study is adequately powered to yield informative results with …

Currently, there is little agreement as to how Natural Language Generation (NLG) systems
should be evaluated, with a particularly high degree of variation in the way that human …

Virtual reality (VR) training offers the capability to industrial workers to acquire skills and
address complex tasks by immersing them in a safe and controlled virtual environment …