Occupational selection and the reliability of position generator measures of social capital

IF 2.9 2区 社会学 Q1 ANTHROPOLOGY
Peter V. Marsden, Derick S. Baum
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Abstract

This article investigates how variation in the social positions (occupations) presented by a position generator (PG) instrument affects the reliability of egocentric network measures based on PG data. We modify the split-half design employed in Verhaeghe et al.’s (2013) study of university students for use with already-existing PG data on a national adult population. After replicating that study, we examine how reliability varies with the relational criterion (e.g., friendship) that links an individual to an occupation and with the number of occupations in a PG. We find that most PG measures are only modestly reliable (i.e., are relatively sensitive to occupational selection), but our absolute assessment of their reliability (given instrument length) is somewhat more optimistic than that of the prior study. Extensity (the number of positions with which a subject has contact) is the most reliable measure, composition measures based on social class groupings are next, and those that involve socioeconomic standing or prestige scores are least reliable. Deeming someone to be connected to an occupation using an acquaintance criterion yields more reliable measures than requiring a stronger level of connectivity. PG measures based on longer (i.e., more occupations) instruments have higher reliability, and projections for longer PGs suggest that including 20 occupations could measure extensity and counts of contacts in some class groupings with adequate reliability; but other class composition measures and all measures involving socioeconomic standing or prestige scores would require 30 or more.

职业选择与职位生成器衡量社会资本的可靠性
本文研究了位置生成器(PG)工具所呈现的社会位置(职业)的变化如何影响基于PG数据的自我中心网络测量的可靠性。我们修改了 Verhaeghe 等人(2013 年)在大学生研究中采用的分半设计,并将其用于已有的全国成人 PG 数据。在复制该研究后,我们考察了可靠性如何随将个人与职业联系起来的关系标准(如友谊)以及 PG 中的职业数量而变化。我们发现,大多数 PG 测量的可靠性不高(即对职业选择相对敏感),但我们对其可靠性的绝对评估(考虑到测量工具的长度)要比之前的研究乐观一些。密度(受试者接触的职位数量)是最可靠的测量方法,其次是基于社会阶层分组的构成测量方法,而涉及社会经济地位或声望分数的测量方法最不可靠。与要求更强的联系程度相比,使用熟人标准来认定某人与某一职业的联系会产生更可靠的测量结果。基于更长(即更多职业)工具的 PG 测量具有更高的可靠性,对更长 PG 的预测表明,包含 20 种职业可以测量某些阶级分组中的联系广度和联系计数,并具有足够的可靠性;但其他阶级构成测量和所有涉及社会经济地位或声望评分的测量则需要 30 种或更多。
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来源期刊
Social Networks
Social Networks Multiple-
CiteScore
5.90
自引率
12.90%
发文量
118
期刊介绍: Social Networks is an interdisciplinary and international quarterly. It provides a common forum for representatives of anthropology, sociology, history, social psychology, political science, human geography, biology, economics, communications science and other disciplines who share an interest in the study of the empirical structure of social relations and associations that may be expressed in network form. It publishes both theoretical and substantive papers. Critical reviews of major theoretical or methodological approaches using the notion of networks in the analysis of social behaviour are also included, as are reviews of recent books dealing with social networks and social structure.
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