Improving the reliability of a nonprobability web survey: application to measuring gender pay gap.

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Title: Improving the reliability of a nonprobability web survey: application to measuring gender pay gap.
Authors: Huang, Yinxuan1 (AUTHOR), Shlomo, Natalie2 (AUTHOR) Natalie.Shlomo@Manchester.ac.uk
Source: International Journal of Social Research Methodology. May2025, Vol. 28 Issue 3, p277-290. 14p.
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  Data: Improving the reliability of a nonprobability web survey: application to measuring gender pay gap.
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Social+Research+Methodology%22">International Journal of Social Research Methodology</searchLink>. May2025, Vol. 28 Issue 3, p277-290. 14p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=bsu&AN=184519249
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1080/13645579.2024.2371238
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 14
        StartPage: 277
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      – TitleFull: Improving the reliability of a nonprobability web survey: application to measuring gender pay gap.
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            NameFull: Huang, Yinxuan
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            NameFull: Shlomo, Natalie
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            – D: 01
              M: 05
              Text: May2025
              Type: published
              Y: 2025
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              Value: 28
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            – TitleFull: International Journal of Social Research Methodology
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