功绩态度的多维性:在欧洲,勤奋、技能和社会关系的作用

IF 3.2 2区 社会学 Q1 SOCIOLOGY Social Science Research Pub Date : 2024-08-01 DOI:10.1016/j.ssresearch.2024.103056
Ronald Kwon , Roshan K. Pandian
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引用次数: 0

摘要

关于与优点相关的价值观的态度研究通常确定了三个关键维度,包括:对勤奋工作的态度、对技能的态度以及对社会关系的态度。在本文中,我们将从多维框架出发,研究个人如何同时评估这三个维度的重要性。我们对欧洲社会调查(ESS)第 9 轮的数据进行了潜类分析(LCAs)。我们发现了三个不同的群组,其中最大的一个群组表现出信念的多维性,特别是在与社会联系的重要性相关的维度上。该群组中的个人不仅认同勤奋和技能的重要性,还认同社会关系在就业中的重要性。此外,群组成员资格还与阶级地位有关,阶级背景较高的个人更有可能与在所有三个维度上都坚持标准任人唯贤价值观的群组联系在一起。
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Multidimensionality in merit attitudes: The role of hard work, skills, and social connections in Europe

Attitudinal scholarship on values related to merit often identifies three key dimensions that include: attitudes towards hard work, attitudes towards skill, and attitudes towards social connections. In this paper, we examine how individuals evaluate the importance of these three dimensions simultaneously and from a multidimensional framework. We apply Latent Class Analysis (LCAs) on data from round 9 of the European Social Survey (ESS). We find three distinct clusters with the largest, exhibiting multidimensionality in beliefs, specifically on the dimension related to the importance of social connections. Individuals in this cluster identify the importance of hard work and skill, but also the importance of social connections in employment. Moreover, cluster membership is also related to class status with individuals from higher class backgrounds more likely to be associated with clusters that adhere to standard meritocratic values on all three dimensions.

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来源期刊
CiteScore
4.30
自引率
4.00%
发文量
0
审稿时长
65 days
期刊介绍: Social Science Research publishes papers devoted to quantitative social science research and methodology. The journal features articles that illustrate the use of quantitative methods in the empirical solution of substantive problems, and emphasizes those concerned with issues or methods that cut across traditional disciplinary lines. Special attention is given to methods that have been used by only one particular social science discipline, but that may have application to a broader range of areas.
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