Among the users of R are working or trainee scientists who are accustomed to software that
provides detailed and customizable summaries of regression results “out of the box”(ie …

The purpose of this meta-analysis was to determine the relationships between teacher
language practices in early childhood classrooms, using a systemic functional linguistic …

The Bayesian framework for statistics is quickly gaining in popularity among scientists, for
reasons such as reliability and accuracy (particularly in noisy data and small samples), the …

The recent growth of data science is partly fueled by the ever-growing amount of data and
the joint important developments in statistical modeling, with new and powerful models and …

Correlations tests are arguably one of the most commonly used statistical procedures, and
are used as a basis in many applications such as exploratory data analysis, structural …

Abstract Human Augmentation Technologies improve human capabilities using technology.
In this study, we investigate the placebo effect of Augmentation Technologies. Thirty naïve …

Over the past several decades, there has been considerable interest in the theoretical
causes of work–family conflict (WFC). Most studies have focused on situational …

Purpose: Sport-science research consistently contains repeated measures and imbalanced
data sets. This study calls for further adoption of mixed models when analyzing longitudinal …

Masked priming is one of the most important paradigms in the study of visual word
recognition, but it is usually thought to require a laboratory setup with a known monitor and …

In species that provide parental care, parents will sometimes cannibalize their own young
(ie, filial cannibalism). Here, we quantified the frequency of whole-clutch filial cannibalism in …