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首页> 外文期刊>Social Justice Research >The Justice Sensitivity Inventory: Factorial Validity, Location in the Personality Facet Space, Demographic Pattern, and Normative Data
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The Justice Sensitivity Inventory: Factorial Validity, Location in the Personality Facet Space, Demographic Pattern, and Normative Data

机译：司法敏感性清单：阶乘有效性，人格方面空间中的位置，人口统计学模式和规范性数据

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摘要

This article investigates the psychometric properties of a self-report inventory for measuring individual differences in four components of justice sensitivity (JS): victim sensitivity, observer sensitivity, beneficiary sensitivity, and perpetrator sensitivity. A representative sample (N = 2510) was employed to (a) estimate the reliability of a newly developed perpetrator sensitivity scale, (b) test the factorial validity of this scale together with three previously developed scales (victim, observer, and beneficiary sensitivity), (c) estimate correlations between JS and demographic variables (gender, age, education, employment status, marital status, and residency in East versus West Germany), and (d) provide normative data for the computation of standard scores. A demographically heterogeneous convenience sample (N = 327) was used to locate the JS dimensions in the personality space of narrow facet factors. Results from confirmatory factor analyses demonstrated the factorial validity of the JS scales. Regression analyses with JS scales as criteria and personality facet scales as predictors suggested that JS cannot be reduced to combinations of personality facets. Demographic effects were small, explaining a maximum of 1.4% of JS variance. Women and East Germans were found to be more justice sensitive than men and West Germans, respectively. Victim sensitivity decreased with age; perpetrator sensitivity decreased with education. Taken together, our results corroborate the validity of the JS Inventory and contribute to a better psychological understanding of JS.
机译：本文研究了自我报告清单的心理测量特性，以测量司法敏感性（JS）四个组成部分中的个体差异：受害者敏感性，观察者敏感性，受益人敏感性和犯罪者敏感性。使用代表性样本（N = 2510）来（a）评估新制定的犯罪者敏感性量表的可靠性，（b）与该三个先前制定的量表（受害者，观察者和受益人敏感性）一起测试该量表的阶乘有效性。 ，（c）估算JS与人口统计学变量（性别，年龄，教育程度，就业状况，婚姻状况以及在德国东部和西部的居住地）之间的相关性，以及（d）提供标准数据以计算标准分数。人口统计学上的异类便利性样本（N = 327）用于在狭窄方面因素的人格空间中定位JS维度。验证性因素分析的结果证明了JS量表的阶乘有效性。以JS量表为标准和人格特征量表作为预测因子的回归分析表明，JS不能简化为人格特征的组合。人口统计学影响很小，最多可解释JS方差的1.4％。发现女性和东德人分别比男性和西德人对正义更敏感。受害者的敏感性随着年龄的增长而降低；犯罪者的敏感性随教育程度而降低。综上所述，我们的结果证实了JS清单的有效性，并有助于更好地理解JS。

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