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Automated Name Selection for the Network Scale-Up Method

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Title: Automated Name Selection for the Network Scale-Up Method
Language: English
Authors: Adrià Fenoy (ORCID 0000-0001-5742-8188), Michal Bojanowski (ORCID 0000-0001-7503-852X), Miranda J. Lubbers (ORCID 0000-0001-8398-6044)
Source: Field Methods. 2024 36(3):249-265.
Availability: SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: https://sagepub.com
Peer Reviewed: Y
Page Count: 17
Publication Date: 2024
Document Type: Journal Articles
Reports - Research
Descriptors: Surveys, Population Groups, Automation, Population Distribution, Foreign Countries, Sex, Age, Statistics
Geographic Terms: Belgium, Poland, Switzerland, Spain, Sweden, Hungary
DOI: 10.1177/1525822X241243115
ISSN: 1525-822X
1552-3969
Abstract: To estimate the distribution of the number of acquaintances of the members of a society, the network scale-up method asks survey respondents about the number of people they know with features for which national statistics are available. While many features have been used for this purpose, first names have been suggested to produce particularly low levels of transmission error and recall bias. For this method to be precise, a set of names needs to be selected for the survey that jointly represents the population in relevant variables such as gender or age. This article provides a solution approach to finding the optimal set of names. This can be applied to any population for which a joint distribution of first names and relevant variables is available. We show that our approach successfully provides sets of names closely mirroring the population distributions for six countries with different name statistics.
Abstractor: As Provided
Entry Date: 2024
Accession Number: EJ1428701
Database: ERIC
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  Data: <searchLink fieldCode="AR" term="%22Adrià+Fenoy%22">Adrià Fenoy</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0001-5742-8188">0000-0001-5742-8188</externalLink>)<br /><searchLink fieldCode="AR" term="%22Michal+Bojanowski%22">Michal Bojanowski</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0001-7503-852X">0000-0001-7503-852X</externalLink>)<br /><searchLink fieldCode="AR" term="%22Miranda+J%2E+Lubbers%22">Miranda J. Lubbers</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0001-8398-6044">0000-0001-8398-6044</externalLink>)
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  Data: SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: https://sagepub.com
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  Data: 10.1177/1525822X241243115
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  Data: To estimate the distribution of the number of acquaintances of the members of a society, the network scale-up method asks survey respondents about the number of people they know with features for which national statistics are available. While many features have been used for this purpose, first names have been suggested to produce particularly low levels of transmission error and recall bias. For this method to be precise, a set of names needs to be selected for the survey that jointly represents the population in relevant variables such as gender or age. This article provides a solution approach to finding the optimal set of names. This can be applied to any population for which a joint distribution of first names and relevant variables is available. We show that our approach successfully provides sets of names closely mirroring the population distributions for six countries with different name statistics.
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      – Type: doi
        Value: 10.1177/1525822X241243115
    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 17
        StartPage: 249
    Subjects:
      – SubjectFull: Surveys
        Type: general
      – SubjectFull: Population Groups
        Type: general
      – SubjectFull: Automation
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      – SubjectFull: Population Distribution
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      – SubjectFull: Foreign Countries
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      – SubjectFull: Age
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      – SubjectFull: Statistics
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      – SubjectFull: Belgium
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      – SubjectFull: Poland
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      – SubjectFull: Switzerland
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      – SubjectFull: Spain
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      – SubjectFull: Sweden
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      – SubjectFull: Hungary
        Type: general
    Titles:
      – TitleFull: Automated Name Selection for the Network Scale-Up Method
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            NameFull: Adrià Fenoy
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            NameFull: Michal Bojanowski
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            NameFull: Miranda J. Lubbers
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            – D: 01
              M: 08
              Type: published
              Y: 2024
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              Value: 1552-3969
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              Value: 36
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