In this article we address a number of important issues that arise in the analysis of
nonindependent data. Such data are common in studies in which predictors vary within …

Classical categorical regression models such as the multinomial logit and proportional odds
models are shown to be readily handled by the vector generalized linear and additive model …

Ordinal outcomes are common in the social, behavioral, and health sciences, but there is no
commonly accepted approach to analyzing them. Researchers make a number of different …

Abstract Nations in the Global South have turned to massive hydropower projects to provide
for the energy needs of their growing economies. Large-scale hydropower projects cause …

Researchers often encounter ordinal measures that they wish to examine as dependent
variables in their research—variables where the categories are ordered (running from high …

Discrimination has persisted in our society despite steady improvements in explicit attitudes
toward marginalized social groups. The most common explanation for this apparent paradox …

The ordered logit model is a regression model for an ordinal response variable. The model
is based on the cumulative probabilities of the response variable: in particular, the logit of …

Although the use of psychedelics to impact health has seen growth, little research has tested
the effects of culture conditions on the relationship. More specifically, how does marital …

Although there is a growing support for the use of psychedelics to improve the health of
marginalized groups, there are some critical gaps. First, no empirical studies have examined …

This introduction to visualization techniques and statistical models for second language
research focuses on three types of data (continuous, binary, and scalar), helping readers to …