Title | Evaluating the Performance of the K-fold Cross-Validation Approach for Model Selection in Growth Mixture Modeling |
Author (Name in English or Pinyin) | |
Date Issued | 2019-01-02 |
Source Publication | STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL |
ISSN | 1070-5511 |
DOI | 10.1080/10705511.2018.1500140 |
Firstlevel Discipline | 教育学 |
Education discipline | 社科类 |
Published range | 国外学术期刊 |
Volume Issue Pages | 卷: 26 期: 1 页: 66-79 |
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Citation statistics | |
Document Type | Journal article |
Identifier | https://irepository.cuhk.edu.cn/handle/3EPUXD0A/216 |
Collection | School of Humanities and Social Science |
Corresponding Author | He, Jinbo |
Affiliation | 1.Tianjin Univ, Tianjin, Peoples R China 2.Univ Macau, Macau, Peoples R China 3.Chinese Univ Hong Kong , Shenzhen, Peoples R China |
Recommended Citation GB/T 7714 | He, Jinbo,Fan, Xitao. Evaluating the Performance of the K-fold Cross-Validation Approach for Model Selection in Growth Mixture Modeling[J]. STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL,2019. |
APA | He, Jinbo, & Fan, Xitao. (2019). Evaluating the Performance of the K-fold Cross-Validation Approach for Model Selection in Growth Mixture Modeling. STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL. |
MLA | He, Jinbo,et al."Evaluating the Performance of the K-fold Cross-Validation Approach for Model Selection in Growth Mixture Modeling".STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL (2019). |
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