Chan Y C, Lam Gladys L T, Chun P K R, So Moon Tong Ernest
Department of Applied Social Sciences, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong SAR, The People's Republic of China.
Child Abuse Negl. 2006 Sep;30(9):1005-16. doi: 10.1016/j.chiabu.2006.05.005. Epub 2006 Sep 7.
To evaluate whether or not the original six-factor structure of the Child Abuse Potential (CAP) Inventory suggested by [Milner, J.S. (1986). The Child Abuse Potential Inventory: Manual (2nd ed.). DeKalb, IL: Psytec. Inc.] can be confirmed with data from a group of Chinese mothers in Hong Kong.
Eight hundred and ninety-seven mothers from 13 child care centers in Hong Kong successfully completed a set of structured questionnaires consisting, among others, of the 77-item Abuse Scale of the CAP Inventory. A confirmatory factor analysis (CFA) was performed to determine whether the data fits the factorial structure of the CAP Inventory identified by Milner (1986).
The root mean square error of approximation (RMSEA) of the model epsilona) is 0.031, indicating a close fit of the model in relation to the degrees of freedom. On testing the close fit against the null hypothesis that Ho: epsilona<or=0.05, the associated p-value is almost one. This suggests that the probability that Ho is true is extremely high. The estimated expected value of the cross-validation index (ECVI) is 6.185, which is less than the ECVIsat (6.703), giving another indication on the fitness of the model. Other fit indices also provide support for the model fitness.
The original six-factor structure of the CAP Inventory tested by CFA is acceptable. The theoretical constructs underlying the CAP Inventory are supported by data collected from Chinese mothers in Hong Kong.
评估由[米尔纳,J.S.(1986年)。《虐待儿童潜能量表(CAP)手册》(第2版)。伊利诺伊州迪卡尔布:Psytec公司]提出的虐待儿童潜能(CAP)量表最初的六因素结构是否能被来自中国香港一群母亲的数据所证实。
来自香港13个儿童保育中心的897名母亲成功完成了一套结构化问卷,其中包括77项的CAP量表虐待分量表。进行验证性因素分析(CFA)以确定数据是否符合米尔纳(1986年)确定的CAP量表的因素结构。
模型ε的近似均方根误差(RMSEA)为0.031,表明模型与自由度的拟合度很高。在针对原假设Ho:ε≤0.05检验拟合优度时,相关p值几乎为1。这表明Ho为真的概率极高。交叉验证指数(ECVI)的估计期望值为6.185,小于ECVIsat(6.703),这也表明了模型的拟合度。其他拟合指数也支持模型的拟合度。
通过CFA检验的CAP量表最初的六因素结构是可以接受的。CAP量表背后的理论结构得到了从中国香港母亲那里收集的数据的支持。