DePaulo B M, Rosenthal R
J Pers. 1979 Sep;47(3):506-17. doi: 10.1111/j.1467-6494.1979.tb00629.x.
The structure of skill at decoding nonverbal cues was examined for 150 high school students and 95 college students. An overall principal components analysis yielded four factors differing in the complexity of the message (pure versus mixed) and in the relative importance of the video versus the audio modality. Factor 1 (pure video) was defined by accuracy at face and body cues of ordinary (2 second) and very brief exposure length. Factor 2 (mixed video) was defined by accuracy at face and body cues with a "noisy" background. Factor 3 (mixed audio) was defined by accuracy at decoding discrepant cues and "noisy" audio cues. Factor 4 (ure audio) was defined by accuracy at pure tone of voice cues. The overall evidence suggested that despite a nontrivial degree of relationship among all measures of skill at decoding nonverbal cues (Armor's Theta = .62), it would increase our theoretical and empirical precision to conceptualize nonverbal decoding ability as made up of several relatively unrelated subskills.
对150名高中生和95名大学生的非语言线索解码技能结构进行了研究。总体主成分分析产生了四个因素,这些因素在信息的复杂性(单纯与混合)以及视频与音频模态的相对重要性方面存在差异。因素1(单纯视频)由普通(2秒)和非常短的暴露时长下的面部和身体线索的准确性来定义。因素2(混合视频)由具有“嘈杂”背景的面部和身体线索的准确性来定义。因素3(混合音频)由解码不一致线索和“嘈杂”音频线索的准确性来定义。因素4(单纯音频)由纯语音线索的准确性来定义。总体证据表明,尽管在非语言线索解码技能的所有测量之间存在显著程度的相关性(阿莫尔西塔系数 = 0.62),但将非语言解码能力概念化为由几个相对不相关的子技能组成,将提高我们的理论和实证精度。