Generalized linear mixed models (GLMMs) estimate fixed and random effects and are
especially useful when the dependent variable is binary, ordinal, count or quantitative but …

The reporting of accurate and appropriate conclusions is an essential aspect of scientific
research, and failure in this endeavor can threaten the progress of cumulative knowledge …

Background: Repeated measures designs are commonly used in health and social sciences
research. Although there are other, more advanced, statistical analyses, the F-statistic of …

Dietary fibers (DFs) impact the gut microbiome in ways often considered beneficial.
However, it is unknown if precise and predictable manipulations of the gut microbiota, and …

Do you use language corpora in your research or study, but find that you struggle with
statistics? This practical introduction will equip you to understand the key principles of …

Background: The robustness of F-test to non-normality has been studied from the 1930s
through to the present day. However, this extensive body of research has yielded …

Purpose This study aims to explore the importance of past behaviour and financial literacy in
the investment decision-making of individual investors and examines the validity of the …

Recent years have seen increasing interest in research on consumer acceptance of clean
meat. Whilst some consumers are enthusiastic about the prospect of reducing the health …

Pupil diameter and microsaccades are captured by an eye tracker and compared for their
suitability as indicators of cognitive load (as beset by task difficulty). Specifically, two metrics …

Objective This paper presents a theoretical model and two simulator studies on the
psychological processes during early trust calibration in automated vehicles. Background …