Multilevel logistic regression models with each negative emotions as a predictor.

Multilevel logistic regression models with each negative emotions as a predictor.

<p>Multilevel logistic regression models with each negative emotions as a predictor.</p>

שמור ב:
מידע ביבליוגרפי
מחבר ראשי: Chan-Young Ahn (22683343) (author)
מחברים אחרים: Jin-Ha Kim (10300456) (author), Sojung Kim (46675) (author), Jae-Won Kim (172504) (author), Jung-Jo Na (22683346) (author), Dong Gi Seo (11119119) (author), Jong-Sun Lee (4252801) (author)
יצא לאור: 2025
נושאים:
Medicine
Sociology
Mental Health
Biological Sciences not elsewhere classified
xlink "> non
providing practical insights
multilevel logistic regression
low ecological validity
justifying multilevel modeling
experimental methods rely
ecological momentary assessment
address social connections
26 indicated substantial
identify emotional predictors
adolescents &# 8217
repeatedly sample nssi
significant individual differences
combining machine learning
anger towards others
experiencing nssi thoughts
40 ), anxiety
findings highlight loneliness
significant predictors
machine learning
nssi thoughts
individual variance
adolescents engaging
18 ),
therefore vulnerable
study aimed
smartphone application
related feelings
past year
participants reported
often linked
negative emotions
integrated application
influential predictor
icc value
feature importance
developing tailored
daily life
autobiographical recall
15 years
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תיאור
סיכום:<p>Multilevel logistic regression models with each negative emotions as a predictor.</p>

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