Measuring Trust

Bibliographic Data

ID20011706
AuthorsPaul C Bauer (0000-0002-8382-9724), Michel Freitag (0000-0003-2428-0652), Markus Freitag
EditorsEric M Uslaner
Year2017
Publication date2017-01-10
Open AccessNo
TypeBOOK
VenueOxford Handbook of Social and Political Trust (SOURCE_BOOK)
PublisherOxford University Press (PUBLISHER • GB)
DOI10.1093/oxfordhb/9780190274801.013.1
OpenAlexW4241735241
ISBN9780190274801
LanguageEN
Citations received23

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

Conceptualization · Data mining · Data science · Epistemology · Field (mathematics) · Measure (data warehouse) · Pure mathematics · Set (abstract data type) · Sociology · Survey instrument · Applied Psychology · Artificial Intelligence · Computer Science · Electoral Systems and Political Participation · Mathematics · Philosophy · Psychology · Public Policy and Administration Research · Social Capital and Networks

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