少年網絡攻擊行為評定量表的信效度多少

目的:編制我國少年網絡攻擊行為評定量表(AOABS),並檢驗其信效度。方法:方便抽取689名中學生和大學生進行問卷調查,回收有效問卷597份。通過項目分析篩選題目,將整體樣本隨機分半後分別進行探索性因素分析(n=297)和驗證性因素分析(n=300)以檢驗量表的結構效度,並檢驗量表的信度。結果:少年網絡攻擊行為評定量表分為工具性攻擊(instrumental aggression)和反應性攻擊(reactive aggression)兩個分量表,每個分量表內部又分為外顯攻擊和關系攻擊兩部分。自編量表的兩個分量表經探索性因素分析所得的題目載荷在0.52～0.75之間,累積方差貢獻率分別為52.75%和53.24%;兩個分量表經驗證性因素分析所得模型均符合心理測量學要求(RMSEA0.9,NNFI>0.9,CFI>0.9)。兩個分量表的Cronbachα系數分別為0.83和0.86。結論:少年網絡攻擊行為評定量表具有良好的結構效度和內部壹致性信度,可以用於測量我國少年在網絡上的攻擊行為。; Objective： To develop an Adolescent Online Aggressive Behavior Scale （AOABS） and test its re- liability and validity. Methods： Totally 689 students from junior high schools, senior high schools and universities were selected by convenience sampling method, and were tested with the self-made Chinese version of Adolescent Online Aggressive Behavior Scale. The scale was revised through item analysis. Then the construct validity of the revised scale was tested through exploratory and confirmatory factor analysis, and the reliability was tested. Results： AOABS consists of two subscales, including instrumental aggression （15 items） and reactive aggression （16 i- tems）, and each subscale was divided by two factors of overt aggression and relational aggression. The loadings of i- tems in both subscales were ranged from 0. 52 to 0.75. The two factors in both subscales could explain 52. 8% and 53.2% of the total variance. The indicators of confirmatory factor analysis with both subscales were in requirements of psychometric （ RMSEA 〈 0.08, NFI 〉 0. 9, NNFI 〉 0.9, CFI 〉 0. 9）. The Cronbach α coefficients of both sub- scales were 0. 83 and 0. 86 respectively. Conclusion： It suggests that the AOABS could be used as an effective and reliable tool for assessing online aggression behavior of Chinese adolescents.