概念化
集合(抽象数据类型)
领域(数学)
测量仪器
度量(数据仓库)
认识论
计算机科学
社会学
心理学
数据科学
数学
数据挖掘
人工智能
应用心理学
纯数学
哲学
程序设计语言
作者
Paul Cornelius Bauer,Markus Freitag
出处
期刊:Oxford University Press eBooks
[Oxford University Press]
日期:2017-01-10
被引量:84
标识
DOI:10.1093/oxfordhb/9780190274801.013.1
摘要
This article focuses on the measurement of trust. First, we start with a brief conceptualization of trust, contrasting it with the concept of generalized trust. Second, we survey developments in trust measurement since the 1960s. Third, we summarize and try to systematize a number of measurement debates that have taken place. Fourth, we outline how trust measurement may develop in the future, discuss how differently formulated survey questions may abate some of the debates within the field, and present empirical data that follow some of these directions. Essentially we argue that trust—as opposed to generalized trust—should be measured through reliance on a set of more specific questions that measure expectations across a series of different situations.
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