The Global Trust Inventory as a “Proxy Measure” for Social Capital: Measurement and Impact in 11 Democratic Societies

社会资本 人际交往 社会信任 政治 社会心理学 代理(统计) 验证性因素分析 民主 动机推理 心理学 社会学 政治学 经济 社会科学 经济 法学 机器学习 计算机科学 服务(商务)
作者
James H. Liu,Petar Milojev,Homero Gil de Zúñiga,Robert Jiqi Zhang
出处
期刊:Journal of Cross-Cultural Psychology [SAGE Publishing]
卷期号:49 (5): 789-810 被引量:23
标识
DOI:10.1177/0022022118766619
摘要

The Global Trust Inventory (GTI), conceptually assessing trust in others ranging from close interpersonal relationships to relationships with government and financial institutions as a whole, was administered to representative online samples in 11 democratic states ( N = 11,917 from Europe, the Americas, and New Zealand). A seven-factor solution had configural, metric, and reasonable scalar invariance in multi-group confirmatory factor analysis. Using latent profile analysis, individual-level measures of trust were derived that complement existing measures of social capital in their impact and implications. Western societies had proportionately more people with high propensity to trust, Catholic/European intermediate, and Latin American societies the least. A High Trust Profile had virtues associated with social capital: greater participation in political discussion, greater elaboration of political thinking, more community engagement, less prejudice, and greater participation in elections. A Low Trust Profile exhibited opposite tendencies. Demographically, high trust was associated with higher self-reported social status, home ownership, older age, and political conservatism. A more complex set of relationships differentiated two intermediate profiles, dubbed Moderate and Low Institutional Trust. Conceptually, the GTI operationalizes a holistic view of trust as a “synthetic force” that holds various aspects of society together, ranging from interpersonal to institutionalized relationships.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
beninsect发布了新的文献求助10
1秒前
诚心的雅容完成签到,获得积分10
1秒前
领导范儿应助愉快的鞯采纳,获得10
1秒前
蔡能涛完成签到 ,获得积分10
1秒前
你好呀完成签到 ,获得积分10
1秒前
2秒前
123完成签到,获得积分10
3秒前
科目三应助谨慎云朵采纳,获得100
3秒前
3秒前
福多多发布了新的文献求助10
3秒前
孤独的小屁孩完成签到,获得积分10
3秒前
3秒前
陈进发布了新的文献求助20
3秒前
千影发布了新的文献求助10
4秒前
4秒前
隐形曼青应助PhD_HanWu采纳,获得30
4秒前
英俊的铭应助纯情的丹翠采纳,获得10
4秒前
55566发布了新的文献求助10
4秒前
ii完成签到,获得积分10
5秒前
ttm发布了新的文献求助30
6秒前
wanci应助欧阳鮸采纳,获得10
6秒前
怕孤单的熊猫完成签到,获得积分10
6秒前
6秒前
Hello应助beninsect采纳,获得10
6秒前
6秒前
陈行完成签到,获得积分10
6秒前
万能图书馆应助宇文天思采纳,获得10
7秒前
7秒前
8秒前
烟花应助zz采纳,获得10
8秒前
小熊饼干完成签到,获得积分10
9秒前
10秒前
paparazzi221发布了新的文献求助10
10秒前
sfy66666发布了新的文献求助10
10秒前
眼睛大又蓝完成签到,获得积分10
10秒前
NANA完成签到 ,获得积分10
11秒前
向阳而生完成签到,获得积分10
11秒前
重中之重发布了新的文献求助10
11秒前
11秒前
12秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Principles of town planning: translating concepts to applications 1000
内視鏡的に摘除しえた十二指腸乳頭部腫瘍の2例 660
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Positive Obsession: The Life and Times of Octavia E. Butler 500
Interpolation and Regression Models for the Chemical Engineer: Solving Numerical Problems 400
The Neuroscience of Language 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7689555
求助须知:如何正确求助?哪些是违规求助? 9251657
关于积分的说明 19972512
捐赠科研通 7262498
什么是DOI,文献DOI怎么找? 3290340
关于科研通互助平台的介绍 2447103
邀请新用户注册赠送积分活动 2295132