The linear model often serves as a starting point for applying statistics in psychology. Often,
formal training beyond the linear model is limited, creating a potential pedagogical gap …

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 COVID-19 health disaster has had a dramatic impact on the global hospitality industry,
affecting millions of people. The aim of this study is to examine the impact of job insecurity …

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 …

Significantly revised, the fifth edition of the most complete, accessible text now covers all
three approaches to structural equation modeling (SEM)--covariance-based SEM …

Understanding the mechanisms underlying the effects of behaviour change interventions is
vital for accumulating valid scientific evidence, and useful to informing practice and policy …

To summarise skewed (asymmetric) distributions, such as reaction times, typically the mean
or the median are used as measures of central tendency. Using the mean might seem …

Several measures of skewness and kurtosis were proposed by Hogg (1974) in order to
reduce the bias of conventional estimators when the distribution is non-normal. Here we …

For clinical studies with continuous outcomes, when the data are potentially skewed,
researchers may choose to report the whole or part of the five-number summary (the sample …

The novel coronavirus pandemic continues to cause significant morbidity and mortality
around the world. Diverse clinical presentations prompted numerous attempts to predict …