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Assessing the measurement error properties of interviewer observations of neighbourhood characteristics
Author(s) -
CasasCordero C.,
Kreuter F.,
Wang Y.,
Babey S.
Publication year - 2013
Publication title -
journal of the royal statistical society: series a (statistics in society)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.103
H-Index - 84
eISSN - 1467-985X
pISSN - 0964-1998
DOI - 10.1111/j.1467-985x.2012.01065.x
Subject(s) - interview , neighbourhood (mathematics) , covariate , multilevel model , statistics , observational error , psychology , data collection , survey data collection , econometrics , computer science , social psychology , mathematics , sociology , mathematical analysis , anthropology
Summary. Interviewer observations made during the process of data collection are currently used to inform responsive design decisions, to expand the set of covariates for non‐response adjustments, to explain participation in surveys and to assess non‐response bias. However, little effort has been made to assess the quality of such interviewer observations. Using data from the Los Angeles Family and Neighborhood Survey, the paper examines measurement error properties of interviewer observations of neighbourhood characteristics. Block level and interviewer covariates are used in multilevel models to explain interviewer variation in the observations of neighbourhood features.