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军人状态焦虑预测量表的验证 被引量:2

Verification of a Military Personnel State Anxiety Prediction Scale
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摘要 目的以军人为被试对象自编《军人状态焦虑预测量表》(简称《量表》),用以评估不同应激条件下军人状态焦虑程度,从而为有针对性地干预奠定基础。方法选取陆军某部队的3340名军人进行测评,回收有效问卷2890份,对《量表》进行信度、效度等分析。结果《量表》包括负性思维、焦虑特质、躯体性感受、人格品质4个因子,共38个条目。《量表》四因子具有良好的结构,数据与假设模型拟合程度较高,其拟合指数分别为2/df=14.36,AGFI=0.782,CFI=0.94,NNFI=0.94,NFI=0.94,RMSEA=0.08,IFI=0.94。负性思维、焦虑特质、躯体性感受、人格品质之间不相关。总量表同质信度克朗巴赫系数α(Cronbach'sα)为0.905,折半信度Guttman系数为0.67,Spearman-Brown系数为0.728。结构效度KMO值为0.964(P<0.0001)。《量表》各因素与状态-特质问卷(S-TAI)有较好相关性。结论该《量表》适应现代军事应激条件,结构清晰,操作简便,更是适用于预测军人状态焦虑的有效心理健康测评工具。 Objective To assess state anxiety levels of military personnel using a self-designed Military Personnel State Anxiety Prediction Scale so as to achieve targeted interventions. Methods A total of 3340 persons from an army unit were selected for testing,from whom 2890 copies of valid questionnaires were received, and the reliability and validity of Predic- tion Scale were analyzed. Results The Scale had 38 items, including 4 factors: negative thinking, anxiety trait, somatic feelings and personality traits,which had a good structure, a higher degree of fitting data and assumption model. The fitting indices were x2/df = 14.36, AGFI = 0. 782, CFI = 0.94, NNFI = 0.94, NFI = 0.94, RMSEA = 0.08, and IFI = 0. 94. The 4 factors were not correlated. The homogeneity reliability of total scale Cronbach's α was O. 905, the split-half reliahili- ty Guttman coefficient was 0.67, and the Spearman-Brown coefficient was 0. 728. The construct validity KMO value was 0. 964 ( P 〈 0. 001 ). Scale factors and the state-trait questionnaire (S-TAI) had good correlation. Conclusion The Military. Personnel State Anxiety Prediction Scale is suited to the modern military stress environment, clear in strur, ture, user-friendly, and one of the more effective mental health evaluation tools for predicting military personnel state anxiety.
作者 潘昱 严进
出处 《军事医学》 CAS CSCD 北大核心 2012年第12期934-936,共3页 Military Medical Sciences
关键词 军事人员 应激 心理学 焦虑 因素分析 统计学 military personnel stress, psychological anxiety factor analysis, statistical
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参考文献5

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二级参考文献13

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