SMMU军事应激反应性焦虑预测量表的初步编制及其预测率的研究

The research on the planning of SMMU military stress reactional anxiety prediction scale and its prediction percentage

目的编制能供我军大批量使用的应激反应性焦虑预测量表。方法1．以2000名军人为研究对象，参考以往的心理学相关研究，以特质焦虑量表为主，从已有的心理测评量表中选取与本研究目的相关的208项条目，对军事应激前各项分值与军事应激期状态焦虑总分值的进行相关回归分析，根据其回归系数的大小选取条目组成新的量表并作信度、效度等分析。2．比较在应激前以特质焦虑量表（T-AI）和新量表两种方法区分出的易感人群，在应激时状态焦虑量表（S-AI）高得分的比率。结果经多元回归分析，208项中有40项条目进入回归方程（R^2=0．677，F=87．460，P=0．000），初步形成38项的SMMU军事应激反应性焦虑预测量表。量表同质信度Cronbachct系数为0．755，折半信度Guttman系数为0．702，Spearman-Brown系数为0．703。结构效度的检验采用主因子分析法，KMO值为0．926（P〈0．01），量表初步定义特质性焦虑和反应性抑郁两个维度。应激前用特质焦虑量表预测应激期高状态焦虑的预测率为52．20％，而使用SMMU军事应激反应性焦虑预测量表预测率达79．51％（P〈0．01）。结论SMMU军事应激反应性焦虑预测量表量表简便、易行，且有良好的信度和效度。

Objective To work out a stress reactional anxiety prediction scale which can be used in large quantities in Chinese forces in order to improve the prediction percentage of military stress reactional anxiety of soldiers. Methods 1. It took 2000 soldiers from the army, the navy and the second artillery as its objective. As well as consulted the relative research in psychology, the relative 208 items were selected from the existing measure scales in psychology, of course,it gave priority to T-AI, and then we observe the relationship between the score before and after the military stress was observed. A new scale was composed according to the relative coefficient and then the reliability and validity were analyzed. 2. Make a comparison of the high score of people who were prone to stress anxiety in T-AI and the new scale. Results 40 in 208 items came into the regression equation after Multiregression analysis （ R^2 = 0.677, F = 87. 460, P = 0.000）, then 2 items were deleted after assessing the readability and appropriaty by psychologists and soldiers, and the SMMU military stress reactional anxiety prediction scale, which covers 38 items, came into being. The coefficient of stability Cronbach α is 0. 755, Guttman split-half reliabilityis 0.702, the revised Spearman-Brown formula coefficient is 0.703. The construct validity test adopted mainfactor analysis ,the KMO is 0.926 （ P〈 0.001 ） ,which is tried to extract two main-factors defined as the trait anxiety and the reactive depression as the two dimension of the scale. The T-AI prediction percentage is 52.20%, while SMMU military stress reactional anxiety prediction scale is 79.51%. Conclusion The SMMU military stress reactional anxiety prediction scale is simple ,feasible and has good reliability and validity. It can be a good tool for predict soldiers＇ military stress reactional anxiety in large quantities.