Cross-Domain Association in Metacognitive Efficiency Depends on First-Order Task Types

assessing cross domain metacognitive correlation

The Role of Self-Control and Motivation on Exhaustion in Youth Athletes: A Longitudinal Perspective

Assessing Objective and Verifiable Indicators Associated With Work-Related Stress: Validation of a Structured Checklist for the Assessment and Management of Work-Related Stress

non linear canonical correlation analysis
multilevel confirmatory factor analytic model
per dimension of non linear canonical correlation analysis

Connecting With Fundamental Mathematical Knowledge Directly: The Organizational Features of Good Mathematical Cognitive Structure

effectiveness of social network analysis method

Analyzing Multivariate Dynamics Using Cross-Recurrence Quantification Analysis (CRQA), Diagonal-Cross-Recurrence Profiles (DCRP), and Multidimensional Recurrence Quantification Analysis (MdRQA) - A Tutorial in R

core concept of recurrence based analysis
signal analysis capacities of recurrence based method
section multidimensional recurrence quantification analysis
lorenz system mdrqa2 results xz mdrqa data asmatrix
lorenz system mdrqa2 results yz mdrqa data asmatrix

col(crqaresultsxy$RP) # sort CRP into diagonal lines lags<- 20
BX5" position="float">mdrqa3results<- mdrqa(data=as.matrix(cbind(lorData$x, lorData$y, lorData$z), emb=1, del=1, norm='euc', rad=0.2) # run MdRQA3
BX6" position="float">mdrqa2resultsxy<- mdrqa(data=as.matrix(cbind(lorData$x, lorData$y), dims=2, emb=2, del=9, norm='euc', rad=0.2) # run MdRQA2
system mdrqa2resultsxz<- mdrqa(data=as.matrix(cbind(lorData$x, lorData$z), dims=2, emb=2, del=9, norm='euc', rad=0.2) # run MdRQA2
system mdrqa2resultsyz<- mdrqa(data=as.matrix(cbind(lorData$y, lorData$z), dims=2, emb=2, del=9, norm='euc', rad=0.2) # run MdRQA2

Defending the Body Without Sensing the Body Position: Physiological Evidence in a Brain-Damaged Patient With a Proprioceptive Deficit

t=0.36; p=0.36; Z CC=0.38; 95% confidence interval=-0.215-0.959; mean +- SD delta near far congruent controls=2.59 +- 1.58; delta near far congruent P+ patient=3.19
t=-2.27; p=0.02; Z CC=-2.36; 95% confidence interval=-3.482-1.227; mean +- SD delta near far congruent controls=2.59 +- 1.58; delta near far incongruent P+ patient=-1.15