Eliciting personal network data in web surveys through participant-generated sociograms
Paola Tubaro
- Fonction : Auteur
- PersonId : 8184
- IdHAL : paola-tubaro
- ORCID : 0000-0002-1215-9145
- IdRef : 086079840
Antonio A. Casilli
- Fonction : Auteur
- PersonId : 2320
- IdHAL : antonio-a-casilli
- ORCID : 0000-0003-2025-1627
- IdRef : 14668382X
Résumé
The article presents a method to elicit personal network data in Internet surveys, exploiting the renowned appeal of network visualizations to reduce respondent burden and risk of dropout. It is a participant-generated computer-based sociogram, an interactive graphical interface enabling participants to draw their own personal networks with simple and intuitive tools. In a study of users of websites on eating disorders, we have embedded the sociogram within a two-step approach aiming to first elicit the broad ego network of an individual and then to extract subsets of issue-specific support ties. We find this to be a promising tool to facilitate survey experience and adaptable to a wider range of network studies.
Format du dépôt | Notice |
---|---|
Type de dépôt | Article dans une revue |
Résumé |
en
The article presents a method to elicit personal network data in Internet surveys, exploiting the renowned appeal of network visualizations to reduce respondent burden and risk of dropout. It is a participant-generated computer-based sociogram, an interactive graphical interface enabling participants to draw their own personal networks with simple and intuitive tools. In a study of users of websites on eating disorders, we have embedded the sociogram within a two-step approach aiming to first elicit the broad ego network of an individual and then to extract subsets of issue-specific support ties. We find this to be a promising tool to facilitate survey experience and adaptable to a wider range of network studies.
|
Titre |
en
Eliciting personal network data in web surveys through participant-generated sociograms
|
Auteur(s) |
Paola Tubaro
1, 2, 3
, Antonio A. Casilli
4, 5
, Lise Mounier
6
1
LRI -
Laboratoire de Recherche en Informatique
( 2544 )
- LRI - Bâtiments 650-660 Université Paris-Sud 91405 Orsay Cedex
- France
2
CNRS -
Centre National de la Recherche Scientifique
( 441569 )
- France
3
University of Greenwich
( 470175 )
- Université de Greenwich
Old Royal Naval College, Park Row, London SE10 9LS
+ campus Medway et Avery Hill
- Royaume-Uni
4
Télécom ParisTech
( 300362 )
- 46 rue Barrault 75634 Paris Cedex 13
- France
5
CEM -
Centre Edgar-Morin
( 57574 )
- 22 rue d'Athènes, 75009 Paris
- France
6
CMH -
Centre Maurice Halbwachs
( 20824 )
- 48 Boulevard Jourdan
75014 Paris
- France
|
Langue du document |
Anglais
|
Date de production/écriture |
2013
|
Vulgarisation |
Non
|
Comité de lecture |
Oui
|
Audience |
Internationale
|
Date de publication |
2014-05
|
Volume |
26
|
Numéro |
2
|
URL éditeur |
http://fmx.sagepub.com/content/26/2/107
|
Nom de la revue |
|
Page/Identifiant |
107-125
|
Domaine(s) |
|
Voir aussi |
|
Projet(s) ANR |
|
Mots-clés |
en
social networks, personal networks, name generators, internet surveys , network visualizations
|
DOI | 10.1177/1525822X13491861 |
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