Statistical prediction models are ubiquitous in psychological research and practice. Increasingly, machine-learning models are used. Quantifying the uncertainty...

Signal Detection Theory has long served as a cornerstone of psychological research, particularly in recognition memory. Yet its conventional application hinges almost exclusively on the Gaussian assum...

Background Random-effects meta-analysis is widely used for synthesizing the studies of a systematic review assuming a normal distribution for the study-specific effects. However, this assumption might...

This perspective article provides a commentary on the current state of theories used in social psychology, with a particular emphasis on the importance of distinguishing between theoretical models ...

For the love of fuck, literally nobody thinks that 20% of the population is transgender. Please stop sharing that ridiculous YouGov statistic

I was writing an R Markdown for calculating measures of spread and was surprised to find that the IQR function does not use the IQR calculation I am used to using, which is: $$ \text{IQR} = \text{Q...

An interactive article about how regression adjustment works and the pitfalls of conditional associations in descriptive studies.

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Despite the popularity of Variance Inflation Factor (VIF) scores as multicollinearity diagnostics, methodological work has voiced skepticism. In a paper that has become the most highly cited reference...

Finding causes is a central goal in psychological research. In this paper, I argue based on the interventionist approach to causal discovery that the …

When designing a study, the planned sample size is often based on power analyses. One way to choose an effect size for power analyses is by relying on…

Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ar...

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Surveys are an essential approach for eliciting otherwise invisible factors such as perceptions, knowledge and beliefs, attitudes, and reasoning. These factors are critical determinants of social, eco...

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Use mgcv's convenient list data format for setting up nonlinear functions that change smoothly over increasing temporal lags

Many medical and epidemiological studies use multivariable regression to test whether several independent variables (exposures) are causal determinants of a health outcome. Where mutually adjusted reg...

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Estimates generalized additive latent and mixed models using maximum marginal likelihood, as defined in Sorensen et al. (2023) <doi:10.1007/s11336-023-09910-z>, which is an extension of Rabe-Hesketh a...

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This is an educational resource, with content at the cutting edge of scientific knowledge. It aims to improve future research, by improving researchers knowledge in the statistical inferences made, pl...

This tutorial provides an explanation of incidence rate ratio, including a formal definition and an example.

Permutation Test: Visual Explanation

Is there a single test one can perform that would be significant if two coefficients in a linear model are both different from 0, but would not be significant if only one of them differs from 0? Ye...