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>

Saved in:

Bibliographic Details
Main Author:	Chan-Young Ahn (22683343) (author)
Other Authors:	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)
Published:	2025
Subjects:	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
Tags:	Add Tag No Tags, Be the first to tag this record!

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

Cannot write session to /tmp/vufind_sessions/sess_hdsok6v61h4v5qvdpvn1ccqg7r