What is TOPIC-NAME?
Brief description.
Recommended Path for Learning
- Item 1 (video/code tutorial/document)
- Item 2 (video/code tutorial/document)
- Item 3 (video/code tutorial/document)
Further Learning
Video
- Video that covers the calculation of the mean-centered sum, scales, epochs, root mean square, and the log-log fit to determine the fractal dimension. Scale-free dyanamics via detrended fluctuation analysis (DFA)
Applied papers
-
Paper comparing “i) Pearson’s coefficient to investigate linear correlations; ii) Kolmogorov–Smirnov test to compare distributions; and iii) detrended fluctuation analysis (DFA) to quantify auto–correlations” in written text. Robustness of sentence length measures in written texts
-
This science brief from the APA covers many different approaches to the study of human behavior. It succinctly defines different methods and approaches. Nonlinear methods for understanding complex dynamical phenomena in psychological science
Online tutorials
-
This article provides a walkthrough of MFDFA in Matlab. It includes an external link to downloadable code to follow along with the tutorial (https://www.ntnu.edu/inb/geri/software). Introduction to multifractal detrended fluctuation analysis in Matlab
-
This repo covers time series preparation for sound data, as well as documented code for running DFA. ‘nonlinear-natural-noisy’ GitHub repository by mchiovaro
Theory paper
- This book was written by the pioneers of nonlinear methods as applied to the behavioral sciences. It gives succinct definitions, explanation, and demonstration of methods through examples. Tutorials in contemporary nonlinear methods for the behavioral sciences