The Acute Readiness Monitoring Scale: Assessing Predictive and Concurrent Validation

Football Match Dynamics Explored by Recurrence Analysis

emerging patterns requires specific method
2014 introduced non linear time series method
besides fractal measures like spectral analysis
execution of recurrence quantification analysis
terms of practical categories of match analysis

Developmental Features of Lexical Richness in English Writings by Chinese L3 Beginner Learners

l=15.13 Liang et al., 2010 Zhang et al., 2021

As Strong as We Are United: Effects of Intrapersonal and Interpersonal Emotion Regulation on Quality of Life in Women With Breast Cancer

Classification of Gamers Using Multiple Physiological Signals: Distinguishing Features of Internet Gaming Disorder

continuous wavelet transform saccade detection algorithm
difference between 2 consecutive n n intervals

30<Y IAT K scores<60 Wang et al., 2017 Dong et al., 2018
K scores>60 Ha et al., 2020 Zhou et al., 2021

Investigating the Impact of Fear Related to COVID-19 Disease on Situational Humor via Social Networking Sites

related COVID-19 disease<italic toggle="yes">F (1,1, 198)=593.98,<italic toggle="yes">p<0.001
COVID-19 disease<italic toggle="yes">F (3,1, 197)=2.10,<italic toggle="yes">p<0.001

Decreasing Social Isolation to Enhance Mental Health among Older Adults in China: A Mediation Analysis of Aging Attitude

established 3 multiple linear regression
different propensity score matching method

Emotional Well-Being and Traditional Cypriot Easter Games: A Qualitative Analysis

aged 6-14 years old (<italic toggle="yes">M age=10.45) & 43

Student's Learning Strategies and Academic Emotions: Their Influence on Learning Satisfaction During the COVID-19 Pandemic

overall internal consistency alpha coefficient
deviation corrected percentile bootstrapping method

toggle="yes">r=0.44,<italic toggle="yes">p<0.01;<italic toggle="yes">r=0.45,<italic toggle="yes">p<0.01;<italic toggle="yes">r=0.40,<italic toggle="yes">p<0.01
toggle="yes">r=0.59,<italic toggle="yes">p<0.01;<italic toggle="yes">r=0.65,<italic toggle="yes">p<0.01;<italic toggle="yes">r=0.59,<italic toggle="yes">p<0.01
toggle="yes">r=-0.40,<italic toggle="yes">p<0.01;<italic toggle="yes">r=-0.35,<italic toggle="yes">p<0.01;<italic toggle="yes">r=-0.34,<italic toggle="yes">p<0.01
chi^2=16.37,<italic toggle="yes">df=6, chi^2<italic toggle="yes">/df=2.73,<italic toggle="yes">p<0.05;<italic toggle="yes">RMSEA=0.07,<italic toggle="yes">CFI=0.99,<italic toggle="yes">TLI=0.95