Hojat M
J Clin Psychol. 1982 Jan;38(1):137-41. doi: 10.1002/1097-4679(198201)38:1<137::aid-jclp2270380122>3.0.co;2-2.
Hypothesized that in a multivariate statistical model, selected personality variables, depression, anxiety, neuroticism, psychoticism, misanthropy, and external locus of control, could positively predict loneliness, and self-esteem and extraversion could negatively predict loneliness scores. Two groups of Ss were studied independently. Ss in Group I were 232 Iranian college students (156 males, 76 females) who were studying in American colleges. Group II consisted of 305 Iranian students (168 males, 137 females) who were studying in Iranian universities. The obtained results, applying multiple regression analysis, confirmed the directions stated in the research hypothesis. However, some of the selected variables did not contribute significantly in the regression equations. Because of fluctuation of the regression coefficients, due to multicolinearity, the data were subjected to factor analysis. Two factors emerged with eigenvalues greater than unity. Loneliness loaded heavily on the first factor, which was identified as negative attribute of personality.
假设在一个多元统计模型中，所选的人格变量、抑郁、焦虑、神经质、精神质、厌世情绪和外部控制点能够正向预测孤独感，而自尊和外向性能够负向预测孤独感得分。对两组被试进行了独立研究。第一组被试是232名在美国大学学习的伊朗大学生（156名男性，76名女性）。第二组由305名在伊朗大学学习的伊朗学生（168名男性，137名女性）组成。应用多元回归分析得到的结果证实了研究假设中所述的方向。然而，一些所选变量在回归方程中没有显著贡献。由于多重共线性导致回归系数波动，因此对数据进行了因子分析。出现了两个特征值大于1的因子。孤独感在第一个因子上有很高的载荷，该因子被确定为人格的消极属性。
