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Measuring Agreement between Egos and Alters

Understanding Informant Accuracy in Personal Network Studies

Datos Bibliográficos

ID2407446
AutoresHelena D Green (0000-0003-0740-9178, RAND Corporation, autor de correspondencia), Harold D Green (RAND Corporation, Santa Monica, CA, USA), Matthew A Hoover (RAND Corporation, Santa Monica, CA, USA), Matthew Hoover (RAND Corporation), Glenn J Wagner (0000-0001-9081-3299, RAND Corporation), Gery W Ryan (0000-0002-9256-9469, RAND Corporation), Eric Ssegujja (0000-0002-7732-1019, Makerere University)
Año2014
Volumen26
Número2
Páginas126-140
Fecha de publicación2014-05-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaCAM (JOURNAL)
Identificadores de la revistaISSN: 1087-8513 • E-ISSN: 1552-3969
EditorialSAGE Publications Inc (PUBLISHER)
DOI10.1177/1525822x13492676
PMID39310852
OpenAlexW2155512261
IdiomaEN
Citas recibidas19
Referencias citadas8

In personal network studies, respondents (egos) are asked to report information about members of their personal network (alters); egos respond based on their perceptions. Previous studies of informant accuracy present a varied picture: Some find egos' reporting on their relationships with alters to be accurate; others do not. In our study of people living with HIV/AIDS in Uganda, egos were asked to invite up to four alters named during their interview to answer questions about their relationship with ego. Using Gower's general coefficient of similarity, we calculated a measure of accuracy both by variable and by alter. Our analysis by variable tends to confirm informant accuracy research, while our analysis by alter adds to the literature by identifying how accurate a particular ego is when discussing an alter and what characteristics might be associated with accuracy or inaccuracy

Id, ego and super-ego · Perception · Similarity (geometry · Artificial Intelligence · Complex Network Analysis Techniques · Computer Science · Opinion Dynamics and Social Influence · Psychology · Social Media and Politics · Social Psychology

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Obras citantes distintas19
Citas por año1,73
Intervalo de citas2015 - 2026 (12)
Velocidad de citacióncurrent
Altamente citadoNo
Tipos de citaNeutras: 19
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