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. 2022 Jun 23;22:425. doi: 10.1186/s12888-022-04066-z

Correction: Use of latent profile analysis and k-means clustering to identify student anxiety profiles

Fang Liu 1, Dan Yang 2, Yueguang Liu 2, Qin Zhang 1, Shiyu Chen 2, Wanxia Li 2, Jidong Ren 2, Xiaobin Tian 2,3,, Xin Wang 4,
PMCID: PMC9219248  PMID: 35739507

Correction: BMC Psychiatry 22, 12 (2022)

https://doi.org/10.1186/s12888-021-03648-7

Following the publication of the original article [1], the authors identified an error in affiliation 4.

The incorrect affiliation is: 4 School of Health Management, No.77 Puhe Road, Shenyang North New District, Shenyang 110122 Liaoning, China.

The correct affiliation is: 4 School of Health Management, China Medical University, No.77 Puhe Road, Shenyang North New District, Shenyang 110122, Liaoning, China.

The original article [1] has been corrected.

Contributor Information

Xiaobin Tian, Email: tianxb12@163.com.

Xin Wang, Email: wxinsmile@qq.com.

Reference

  • 1.Liu F, et al. Use of latent profile analysis and k-means clustering to identify student anxiety profiles. BMC Psychiatry. 2022;22:12. doi: 10.1186/s12888-021-03648-7. [DOI] [PMC free article] [PubMed] [Google Scholar]

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