The relevance of the cross-wavelet transform in the analysis of human interaction - a tutorial.

This article sheds light on a quantitative method allowing psychologists and behavioral scientists to take into account the specific characteristics emerging from the interaction between two sets of data in general and two individuals in particular. The current article outlines the practical elements of the cross-wavelet transform (CWT) method, highlighting WHY such a method is important in the analysis of time-series in psychology. The idea is (1) to bridge the gap between physical measurements classically used in physiology - neuroscience and psychology; (2) and demonstrates how the CWT method can be applied in psychology.

Impact of a supervised exercise program supporting autonomy on the adoption of an active lifestyle among obese adolescents: a Self-Determination Theory perspective.

Aim: Regular physical activity (PA) practice represents a key component of obesity treatment. Drawing upon Self-Determination Theory, the purpose of this study was twofold. The first aim was to evaluate among obese adolescents the impact of a supervised exercise program supporting autonomy on their motivation to practice PA at the end of the intervention.

Relative roughness: an index for testing the suitability of the monofractal model.

Fractal analyses have become very popular and have been applied on a wide variety of empirical time series. The application of these methods supposes that the monofractal framework can offer a suitable model for the analyzed series. However, this model takes into account a quite specific kind of fluctuations, and we consider that fractal analyses have been often applied to series that were completely outside of its relevance.