Academic procrastination of nursing students in higher vocational college: Application of latent profile analysis and network analysis

被引:2
|
作者
Zhou, Yi [1 ]
Cao, Congjie [2 ]
Liu, Lihong [2 ]
Liu, Zhaohua [2 ]
Liu, Jia [2 ]
机构
[1] Zhejiang Chinese Med Univ, Sch Nursing, 548 Binwen Rd, Hangzhou 310053, Zhejiang, Peoples R China
[2] Langfang Hlth Vocat Coll, Nursing Dept, Siguang Rd, Langfang 065000, Hebei, Peoples R China
关键词
Academic procrastination; Latent profile analysis; Network analysis; Nursing student; Perceived stress; STATISTICAL POWER; PERCEIVED STRESS;
D O I
10.1016/j.actpsy.2024.104296
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
Background: Academic procrastination is especially prevalent among nursing students in higher vocational colleges and it is considered an important factor of poor academic performance. However, existing research mainly focused on the overall level of academic procrastination, and little is known about the individual heterogeneity of academic procrastination among nursing students in higher vocational colleges. Thus, the aim of this study was to clarify the subgroups and factors of academic procrastination among nursing students in higher vocational college and explore academic procrastination networks of the latent subgroups. Methods: A cross-sectional study with online survey. 1369 nursing students in one higher vocational college were recruited using convenience sampling. Participants completed electronic questionnaires that collected demographic and academic characteristics, perceived stress, and academic procrastination. Latent profile analysis, multinomial logistic regression analysis, and network analysis were performed to analyze the data. Results: Three latent profiles of academic procrastination were identified: low (32.4 %), medium (53.3 %), and high (14.3 %). Higher vocational college nursing students who have reset an exam, low professional identity, and perceived more stress are more likely to have higher academic procrastination than other profiles. Network analysis showed that academic procrastination networks structure of the three latent profiles had distinct central components. For the low academic procrastination group, AP11 ("I make study plans, but I often fail to stick to them") and AP12 ("If there is no external pressure, I tend to postpone assignments or reports with deadlines") were the core components. For the medium academic procrastination group, AP17 ("I always wait until I can't postpone my academic tasks any longer before starting them") and AP16 ("I always tend to postpone on assignments or other academic tasks") were the central components. For the high academic procrastination group, AP16 and AP7 ("When studying in my dorm room, I often stop to do other things") were the essential components. Conclusions: There is heterogeneity in higher vocational college nursing students' academic procrastination that can be classified into three latent profiles. The examined factors of academic procrastination and identified the central components of academic procrastination networks of the three latent profiles help nurse educators tailor targeted interventions.
引用
收藏
页数:9
相关论文
共 50 条
  • [41] Latent profile analysis of depressive symptoms in college students and its relationship with physical activity
    Li, Lili
    Wang, Peng
    Zhao, Qun
    Liu, Zuhong
    Li, Shufan
    Wang, Xing
    JOURNAL OF AFFECTIVE DISORDERS, 2024, 351 : 364 - 371
  • [42] Korean College Students’ Attitudes toward Disability and Inclusive Education: Latent Profile Analysis
    Yun-Jeong Shin
    Eun Ji
    Soyoung Park
    Current Psychology, 2023, 42 : 16973 - 16986
  • [43] Korean College Students' Attitudes toward Disability and Inclusive Education: Latent Profile Analysis
    Shin, Yun-Jeong
    Ji, Eun
    Park, Soyoung
    CURRENT PSYCHOLOGY, 2023, 42 (20) : 16973 - 16986
  • [44] Who Understands Consent? A Latent Profile Analysis of College Students' Attitudes Toward Consent
    Goodcase, Eric T.
    Spencer, Chelsea M.
    Toews, Michelle L.
    JOURNAL OF INTERPERSONAL VIOLENCE, 2021, 36 (15-16) : 7495 - 7504
  • [45] Mindfulness and emotional outcomes: Identifying subgroups of college students using latent profile analysis
    Pearson, Matthew R.
    Lawless, Adrienne K.
    Brown, David B.
    Bravo, Adrian J.
    PERSONALITY AND INDIVIDUAL DIFFERENCES, 2015, 76 : 33 - 38
  • [46] Subtypes of nursing students' volunteer motivation in COVID-19: a latent profile analysis
    He, Fupei
    Lin, Beilei
    Liu, Xueting
    Mei, Yongxia
    Wang, Wenna
    Zhang, Zhenxiang
    Wang, Mingxu
    BMC NURSING, 2024, 23 (01)
  • [47] Using Latent Profile Analysis to Identify Noncognitive Skill Profiles Among College Students
    Olivera-Aguilar, Margarita
    Rikoon, Samuel H.
    Robbins, Steven B.
    JOURNAL OF HIGHER EDUCATION, 2017, 88 (02): : 234 - 257
  • [48] Analysis of the professional profile in the employability of Nursing students of a Public Higher Technological Institute
    Poquis Velasquez, Estela
    Cadenillas Albornoz, Violeta
    Palacios Garay, Jessica Paola
    Nunez Vara, Fernando Esteban
    Buendia Vila, Gustavo Rodolfo
    Chumacero Calle, Juan Carlos
    PROPOSITOS Y REPRESENTACIONES, 2020, 8 (03):
  • [49] Career aspiration and influencing factors study of intern nursing students: A latent profile analysis
    Zhang, Yuye
    Wang, Xiaokai
    Li, Qiufang
    Zhang, Ruixing
    Guo, Siyan
    Zhao, Yaning
    Xiao, Tianci
    Luo, Haoyue
    Han, Shuangrong
    Yang, Jiayin
    NURSE EDUCATION TODAY, 2025, 146
  • [50] Subtypes of nursing students' volunteer motivation in COVID-19: a latent profile analysis
    Fupei He
    Beilei Lin
    Xueting Liu
    Yongxia Mei
    Wenna Wang
    Zhenxiang Zhang
    Mingxu Wang
    BMC Nursing, 23