潜在类别分析在大学生网络情绪调节分类中的应用

摘要

目的:了解大学生网络情绪调节的潜在类别,并探讨各类别在性别、年级、网龄等变量上的分布差异.方法:选取某高校大学生421名,使用网络情绪调节问卷(OERQ)进行调查.运用潜在类别分析探讨网络情绪调节行为,并比较不同性别、年级、网龄者的网络情绪调节潜在类别.结果:大学生网络情绪调节分为网络情绪抑制-忽视型(37.6％)和网络情绪宣泄型(62.4％)2个类别,不同性别、年级、网龄者在2个类别上的分布差异有统计学意义(均P ＜0.001).男生较多分布在网络情绪忽视-抑制型上(32％ vs.7.6％),女生较多分布在网络情绪宣泄型上(56.6％ vs.3.8％,);大一学生多为网络情绪忽视-抑制型(20％ vs.5％,),大二和大三学生多为网络情绪宣泄型(36.3％ vs.11.9％,23.4％vs.3.1％,);网龄≤36个月者多为网络情绪宣泄型(31.6％ vs.18.8％).结论:大学生网络情绪调节可以分为网络情绪抑制-忽视型和网络情绪宣泄型2个类别;网络情绪调节的二类潜在类别在性别、年级和网龄的分布上呈现差异.%Objective:To explore the relationship between the latent classes of online emotion regulation among college students and the distribution difference of different types on variables such as gender,grade,ages of surfing the net and so on.Methods:Totally 421 college students were assessed with Online Emotion Regulation Questionnaire (OERQ).Latent class analysis was used to identify online emotion regulation classes,and then analyzed the distribution of latent classes among different genders,grades and ages of surfing the net.Results:Two latent classes of online emotion regulation were identified,including online emotion inhibiting/ignoring class (37.6％) and online emotion venting class (62.4％).The prevalence of online emotion venting class among girls (56.6％ vs.3.8％),sophomores (36.3％ vs.11.9％),juniors (23.4％ vs.3.1％),those with more than 36 months of surfing the net (31.6％ vs.18.8％) were significantly higher than the other of the respective kind.Whereas,the rate of inhibiting/ignoring class among boys (32％ vs.7.6％),freshmen (20％ vs.5％) were significantly higher.Conclusion:It suggests that online emotion regulation could be divided into two different latent classes and prevalence of each class is significantly different in different genders,grades,and ages of surfing the net.