| Home | E-Submission | Sitemap | Editorial Office |  
top_img
Korean Journal of Child Studies Search > Browse Articles > Search



Typologies of Adolescent Delinquent Behaviors and Prediction of Latent Delinquent Groups Using Machine Learning Algorithms
Jaeyoon Lee, Jisu Park
Korean J Child Stud.2022;43(4):499-510.   Published online November 30, 2022
DOI: https://doi.org/10.5723/kjcs.2022.43.4.499
                        
Developing Prediction Model for Children’s Social Competence Using Machine Learning
Geun Ae Lee
Korean J Child Stud.2022;43(3):289-301.   Published online August 31, 2022
DOI: https://doi.org/10.5723/kjcs.2022.43.3.289
                           Cited By 2
Investigating Predictors of First Graders’ School Adjustment in Korean Elementary School Using Latent Profile Analysis and Machine Learning
Eun Kyoung Goh, Hyo Jeong Jeon
Korean J Child Stud.2020;41(4):75-90.   Published online August 31, 2020
DOI: https://doi.org/10.5723/kjcs.2020.41.4.75
                           Cited By 4
1 |
E-Submission
Email Alert
Author's Index
Research and Publication Ethics
Korean Association of Child Studies
ScienceCentral
GoogleScholar
KOFST
Similarity Check
Crossref Cited-by Linking
CrossMark
Funder Registry
metadata
ORCID
COPE
Editorial Office
The Korean Association of Child Studies
S1433-1, Myongji University,
34 Geobukgol-ro, Seodaemun-gu, Seoul, 03674, Republic of Korea
TEL: +82-10-7704-8342   E-mail: gochildren@hanmail.net
About |  Browse Articles |  Current Issue |  For Authors and Reviewers
Copyright © The Korean Association of Child Studies.                 Developed in M2PI