大学生网络欺凌受害潜在类别的发展特点及性别因素的作用

doi:10.12139/j.1672-0628.2023.06.009

摘要/Abstract

摘要： 通过对1148名大学生进行历时3年6次的追踪研究，使用潜类别增长模型考察了网络欺凌受害的独立发展轨迹和网络欺凌受害与网络欺凌的联合发展轨迹的特点及其性别差异。结果发现：(1)大学生网络欺凌受害的独立发展轨迹为3条(高受害−下降组、中受害−上升组和低受害−稳定组)；(2)网络欺凌受害与网络欺凌的联合发展轨迹为2条(中受害−低欺凌−上升组、低受害−低欺凌−稳定组)；(3)网络欺凌受害的独立发展轨迹和网络欺凌受害与网络欺凌的联合发展轨迹均存在显著的性别差异，男生更多卷入网络欺凌及受害。研究结果为大学生网络欺凌受害的预防和干预提供支持和依据。

关键词: 网络欺凌, 潜类别增长模型, 发展轨迹, 性别差异, 大学生

Abstract: This longitudinal study of 1148 college students over 3 years and 6 times examined the characteristics of independent developmental trajectories of cybervictimization and joint developmental trajectories of cybervictimization and cyberbullying using the latent class growth model. The study analyzed the effect of gender by using logistic regression. The results showed that: 1) there were 3 independent developmental trajectories of cybervictimization among college students (high victimization - declining group, medium victimization - rising group, and low victimization - stable group); 2) 2 joint developmental trajectories of cybervictimization and cyberbullying (medium victimization - low bullying - rising group and low victimization - low bullying - stable group); 3) there were significant gender differences in both the independent developmental trajectories of cybervictimization and the joint developmental trajectories of cybervictimization and cyberbullying, with boys being more involved in cyberbullying and cybervictimization. The results of this study provide support and evidence for the prevention and intervention of cybervictimization among college students.

Key words: cyberbullying, latent class growth model, developmental trajectory, gender differences, college student

中图分类号:

B844

刘仁洁, 夏凌翔, 赵永萍. 大学生网络欺凌受害潜在类别的发展特点及性别因素的作用[J]. 心理与行为研究, 2023, 21(6): 784-791.

Renjie LIU, Lingxiang XIA, Yongping ZHAO. Developmental Characteristics of Latent Class of Cybervictimization Among College Students and the Role of Gender[J]. Studies of Psychology and Behavior, 2023, 21(6): 784-791.

图/表 6

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	M	SD	1	2	3	4	5	6	7	8	9	10	11
1.网络欺凌受害(T1)	1.23	0.36
2.网络欺凌受害(T2)	1.21	0.42	0.44***
3.网络欺凌受害(T3)	1.20	0.40	0.38***	0.33***
4.网络欺凌受害(T4)	1.16	0.43	0.22***	0.27***	0.27***
5.网络欺凌受害(T5)	1.19	0.46	0.33***	0.26***	0.39***	0.33***
6.网络欺凌受害(T6)	1.23	0.56	0.27***	0.22***	0.31***	0.22***	0.47***
7.网络欺凌(T1)	1.14	0.24	0.63***	0.36***	0.31***	0.20***	0.22***	0.17***
8.网络欺凌(T2)	1.15	0.34	0.31***	0.79***	0.23***	0.19***	0.19***	0.15***	0.37***
9.网络欺凌(T3)	1.16	0.36	0.29***	0.27***	0.77***	0.26***	0.36***	0.28***	0.36***	0.27***
10.网络欺凌(T4)	1.15	0.42	0.17***	0.25***	0.19***	0.84***	0.27***	0.21***	0.19***	0.24***	0.22***
11.网络欺凌(T5)	1.17	0.44	0.22***	0.20***	0.31***	0.31***	0.84***	0.47***	0.17***	0.18***	0.31***	0.29***
12.网络欺凌(T6)	1.21	0.54	0.21***	0.18***	0.27***	0.20***	0.42***	0.91***	0.15***	0.16***	0.28***	0.22***	0.49***

	M	SD	1	2	3	4	5	6	7	8	9	10	11
1.网络欺凌受害(T1)	1.23	0.36
2.网络欺凌受害(T2)	1.21	0.42	0.44***
3.网络欺凌受害(T3)	1.20	0.40	0.38***	0.33***
4.网络欺凌受害(T4)	1.16	0.43	0.22***	0.27***	0.27***
5.网络欺凌受害(T5)	1.19	0.46	0.33***	0.26***	0.39***	0.33***
6.网络欺凌受害(T6)	1.23	0.56	0.27***	0.22***	0.31***	0.22***	0.47***
7.网络欺凌(T1)	1.14	0.24	0.63***	0.36***	0.31***	0.20***	0.22***	0.17***
8.网络欺凌(T2)	1.15	0.34	0.31***	0.79***	0.23***	0.19***	0.19***	0.15***	0.37***
9.网络欺凌(T3)	1.16	0.36	0.29***	0.27***	0.77***	0.26***	0.36***	0.28***	0.36***	0.27***
10.网络欺凌(T4)	1.15	0.42	0.17***	0.25***	0.19***	0.84***	0.27***	0.21***	0.19***	0.24***	0.22***
11.网络欺凌(T5)	1.17	0.44	0.22***	0.20***	0.31***	0.31***	0.84***	0.47***	0.17***	0.18***	0.31***	0.29***
12.网络欺凌(T6)	1.21	0.54	0.21***	0.18***	0.27***	0.20***	0.42***	0.91***	0.15***	0.16***	0.28***	0.22***	0.49***

模型	k	AIC	BIC	aBIC	Entropy	LMR-LRT(p)	BLRT(p)	类别概率
Class-1	9	8046.71	8092.12	8063.53				1
Class-2	13	6494.41	6560.00	6518.71	0.97	0.007	<0.001	0.09/0.91
Class-3	17	5664.32	5750.09	5696.10	0.97	0.027	<0.001	0.08/0.07/0.85
Class-4	21	5232.03	5338.00	5271.29	0.98	0.265	<0.001	0.05/0.85/0.02/0.08

模型	k	AIC	BIC	aBIC	Entropy	LMR-LRT(p)	BLRT(p)	类别概率
Class-1	9	8046.71	8092.12	8063.53				1
Class-2	13	6494.41	6560.00	6518.71	0.97	0.007	<0.001	0.09/0.91
Class-3	17	5664.32	5750.09	5696.10	0.97	0.027	<0.001	0.08/0.07/0.85
Class-4	21	5232.03	5338.00	5271.29	0.98	0.265	<0.001	0.05/0.85/0.02/0.08

发展轨迹类别	截距	斜率	曲线斜率
高受害−下降组	1.78***	0.11	−0.04***
中受害−上升组	1.61***	−0.39***	0.14***
低受害−稳定组	1.15***	−0.03***	0.003*