In order to improve the robustness of this method, two-factor analysis of variance and additive model is proposed to reduce the impact of style information on face observed feature.
为了提高该方法的鲁棒性，通过两因子方差分析与加性模型分离人脸内因子与外因子，降低风格信息对人脸观察特征的影响。
The two subscales had good discriminating ability and were confirmed by factor analysis, anxiety and avoidance could explain 21.28 and 11.20 of the total variance.
因素分析的结果验证了依恋的两因素学说，焦虑、回避两因素分别解释21·28%和11·20%的变异量。
Results:Exploratory principle factor analysis of the items indicated that the scale had two factors-striving for high goals and minding mistakes, explaining 51.6% of the total variance.
结果：探索性因素分析确定量表含追求高标准和在乎错两个因素，解释总变异的51.6%；
Results:Exploratory principle factor analysis of the items indicated that the scale had two factors-striving for high goals and minding mistakes, explaining 51.6% of the total variance.
结果：探索性因素分析确定量表含追求高标准和在乎错两个因素，解释总变异的51.6%；
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