Using Community Members to Collect Observational Data

Observer Training and Data Quality Assessment

Bibliographic Data

ID6076576
AuthorsP J Ellery (0000-0003-1941-701X, Deakin University, corresponding author), Christopher Baas (Ball State University), Kris Johnson (0000-0002-6973-5799, Delaware County Community College), Jane Ellery (Ball State University)
Year2018
Volume26
Issue4
Pages446-458
Publication date2018-10-02
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueJournal of Community Practice (JOURNAL)
Journal identifiersISSN: 1070-5422 • E-ISSN: 1543-3706
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/10705422.2018.1520772
OpenAlexW2890765747
LanguageEN
Citations received1
References cited10

This article highlights a structured approach to preparing community members for observational data collection in participatory research. Providing training related to the items that will be observed and conducting post-training assessments of observer accuracy and interrater reliability provides researchers with a measure of observer readiness to collect data. In addition, reassessing observer accuracy and interrater reliability at the end of data collection offers a measure of confidence in the data collection process. Discussion of this approach includes addressing survey items with low observer percentage agreement scores and training and evaluation strategies for intermittent and extended data collection periods

Data collection · Inter-rater reliability · Machine learning · Missing data · Observational methods in psychology · Observational study · Observer (physics · Rating scale · Reliability (semiconductor · Statistics · Applied Psychology · Computer Science · Data Analysis and Archiving · Geographic Information Systems Studies · Mathematics · Psychology

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