与性别相关的个体差异和职业兴趣结构：人与事物维度的重要性。
Gender-related individual differences and the structure of vocational interests: the importance of the people-things dimension.
作者信息
Lippa R
机构信息
Department of Psychology, California State University, Fullerton 92634-9480, USA.
出版信息
J Pers Soc Psychol. 1998 Apr;74(4):996-1009. doi: 10.1037//0022-3514.74.4.996.
In 3 studies (respective Ns = 289, 394, and 1,678), males and females were assessed on Big Five traits, masculine instrumentality (M), feminine expressiveness (F), gender diagnosticity (GD), and RIASEC (Realistic, Investigative, Artistic, Social, Enterprising, Conventional) vocational interest scales. Factor analyses of RIASEC scores consistently showed evidence for D.J. Prediger's (1982) People-Things and Ideas-Data dimensions, and participants' factor scores on these dimensions were computed. In all studies Big Five Openness was related to Ideas-Data but not to People-Things. Gender was strongly related to People-Things but not to Ideas-Data. Within each sex, GD correlated strongly with People-Things but not with Ideas-Data. M, F, and Big Five measures other than Openness tended not to correlate strongly with RIASEC scales or dimensions. The results suggest that gender and gender-related individual differences within the sexes are strongly linked to the People-Things dimension of vocational interests.
在3项研究中（样本量分别为289、394和1678），对男性和女性进行了大五人格特质、男性工具性（M）、女性表达性（F）、性别诊断性（GD）以及RIASEC（现实型、研究型、艺术型、社会型、企业型、传统型）职业兴趣量表的评估。对RIASEC分数的因素分析始终显示出支持D.J. 普雷迪格（1982年）提出的人—物维度和观念—数据维度的证据，并计算了参与者在这些维度上的因素得分。在所有研究中，大五人格的开放性与观念—数据维度相关，但与 人—物维度无关。性别与人—物维度密切相关，但与观念—数据维度无关。在每种性别内部，GD与人—物维度强烈相关，但与观念—数据维度无关。除开放性外，M、F和大五人格的其他测量指标往往与RIASEC量表或维度没有强烈的相关性。结果表明，性别以及性别相关的个体差异与职业兴趣的人—物维度密切相关。
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