Despite the popularity of traditional fit index cutoffs like RMSEA≤. 06 and CFI≥. 95, several
studies have noted issues with overgeneralizing traditional cutoffs. Computational methods …

High-dimensional correlated binary data arise in many areas, such as observed genetic
variations in biomedical research. Data simulation can help researchers evaluate efficiency …

The increasing use of ordinal variables in different fields has led to the introduction of new
statistical methods for their analysis. The performance of these methods needs to be …

We developed the R package SimCorMultRes to facilitate simulation of correlated
categorical (binary and multinomial) responses under a desired marginal model …

Confirmatory factor analysis is some of the most widely used statistical techniques in the
social sciences. Frequently, variables (ie, items) stemming from questionnaires are …

Correlations among variables are typically not free to vary between− 1 and 1, with bounds
determined by the marginal distributions. Computing upper and lower limits of correlations …

Situations in which multiple outcomes and predictors of different distributional types are
collected are becoming increasingly common in biopharmaceutical practice, and joint …

The connection between the point-biserial and biserial correlations is well-established when
the underlying distribution is bivariate normal. For many other bivariate distributions, the …

We consider a bivariate normal distribution with linear correlation ρ ρ whose random
components are discretized according to two assigned sets of thresholds. On the resulting …

ABSTRACT A package for the stochastic simulation of discrete variables with assigned
marginal distributions and correlation matrix is presented and discussed. The simulating …