Methodological Issues With Coding Participants in Anonymous Psychological Longitudinal Studies

Bibliographic Data

ID20281390
AuthorsLillian Audette (0000-0002-9928-8846, Tennessee State University, Nashville, TN, USA, corresponding author), Marie S Hammond (0000-0001-9450-4098, Tennessee State University, Nashville, TN, USA), Natalie K Rochester (Tennessee State University, Nashville, TN, USA)
Year2020
Volume80
Issue1
Pages163-185
Publication date2020-02-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEducational and Psychological Measurement (JOURNAL)
Journal identifiersISSN: 0013-1644 • E-ISSN: 1552-3888
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/0013164419843576
PMID31933497
OpenAlexW2940961322
LanguageEN
Citations received17
References cited34

Longitudinal studies are commonly used in the social and behavioral sciences to answer a wide variety of research questions. Longitudinal researchers often collect data anonymously from participants when studying sensitive topics to ensure that accurate information is provided. One difficulty gathering longitudinal anonymous data is that of correctly matching participants across waves of data collection. A number of methods have been proposed for using nonidentifying codes to match anonymous participants; however, currently there is no consensus on the most effective method. This article reviews and analyzes the literature on nonidentifying codes and provides recommendations for researchers interested in using these types of codes in conducting anonymous longitudinal studies

Coding (social sciences) · Data collection · Data mining · Data science · Longitudinal data · Longitudinal study · Matching (statistics) · Statistics · Variety (cybernetics) · Applied Psychology · Artificial Intelligence · Computer Science · Health disparities and outcomes · Mathematics · Psychology · Survey Methodology and Nonresponse · Urban, Neighborhood, and Segregation Studies

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