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1
Intro
2
Index
3
The task
4
Relative Phase
5
Anti-Phase
6
Continuous Relative-Phase
7
Normalization
8
Hilbert Transform
9
Spectrum Analysis
10
Real data
11
Wavelet Analysis
12
Matlab
13
Individual and Group changes
14
Linear Mixed Effect
15
Levels
16
Variability between individuals
Description:
Explore three essential data analysis procedures used in developmental research through this informative 31-minute video presentation. Gain insights into Hilbert Transform Relative Phase, Wavelet Analysis, and Linear Mixed Effects Analysis as Dr. Matheus M. Pacheco provides a comprehensive overview suitable for all experience levels. Discover how these techniques were applied in a 2019 study on bimanual coordination in toddlers, published in the Monographs of the Society for Research in Child Development. Learn about the practical applications of these methods, including analyzing real data, understanding individual and group changes, and addressing variability between individuals. Delve into topics such as continuous relative-phase, normalization, spectrum analysis, and the use of MATLAB in research. Whether you're new to these analytical approaches or seeking a refresher, this presentation offers valuable methodological lessons for child development researchers and students alike.

Methodological Lessons - Introduction to Data Analyses Procedures

Society for Research in Child Development
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