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作 者:丁娇儿 李炜 李江[1,3,4] 傅华[1] DING Jiao-er;LI Wei;LI Jiang;FU Hua(College of Public Health, Fudan University, Shanghai 200032, Chin)
机构地区:[1]复旦大学公共卫生学院,上海200032 [2]复旦大学心理健康教育中心 [3]复旦大学健康传播研究所 [4]复旦大学浦东预防医学研究院
出 处:《中国预防医学杂志》2018年第5期345-350,共6页Chinese Preventive Medicine
基 金:上海市卫计委第四轮公共卫生三年行动计划重点学科建设
摘 要:目的对大学生手机网络成瘾分类量表进行修订并验证信效度。方法以胡丹丹等编制的大学生手机网络成瘾分类量表为基础,根据DSM-5中网络游戏障碍标准进行条目的修订。随机抽取1 080名大学生参与问卷调查,经过信度分析和效度分析,最后确定正式量表。结果探索性因素分析显示,大学生手机网络成瘾量表包含网络社交成瘾、网络娱乐成瘾、网络信息搜集成瘾、网络购物成瘾4个维度,共21条目,解释总变异的49.879%。验证性因素分析显示,修正后的模型NC=3.690,RMSES=0.051,GFI=0.941,NFI=0.887,IFI=0.915,CFI=0.915,与观察数据适配较好。该量表的内部一致性较好,总体Cronbachα系数为0.845,总量表的重测信度为0.832。结论该量表具有较好的信度和效度,大学生手机网络成瘾分类量表符合心理测量学的标准,可以作为大学生手机网络成瘾的评估工具。Objective This study was designed to revise and validate the smartphone addiction classification scale for university students. Methods Based on the criteria of internet gaming disorder in DSM-5,the items in existing version of smartphone addiction classification scale were modified.The final version of the classification scale was determined by analyzing its reliability and efficiency through a questionnaire survey conducted among total 1 080 students randomly selected from universities in Shanghai. Results Exploratory factor analysis indicated that the scale was consisted of 21 items in 4 dimensions including internet social addiction,internet entertainment addiction,internet searching addiction and internet shopping addiction,which explained 49.879% of the total variance.The results of confirmatory factor analysis indicated that the NC,RMSES,GFI,IFI and CFI of the modified model were 3.690,0.051,0.941,0.887,0.915 and 0.845,which were good fitting indices.The scale showed a better internal consistency and concurrent validity with a Cronbach′s alpha of 0.845 and the test-retest reliability coefficient of 0.832. Conclusions The revised scale may be used for the assessment of smartphoone addiction of university students due to its high reliability and efficiency.
关 键 词:手机成瘾量表 大学生 信度检验 效度检验 探索性因子分析 验证性因子分析
分 类 号:R749.99[医药卫生—神经病学与精神病学]
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