How You Sample Determines What You Find

This study addresses the issue of sampling error within research on subsets of parliamentary text corpora. Two samples of parliamentary speeches relating to the marketisation of the Swedish education system, drawn through different sampling techniques, are analysed and compared. The analyses find that diverging sampling methodologies can be complementary as each method adds substantial quantities of unique documents to the dataset. Further, the diverging sampling methodologies employed produce documents with similar semantic content. However, analyses of the distribution of speeches between party affiliations and speakers indicate vast differences between the two samples. These results indicate that sampling frames can substantially influence the findings of parliamentary text analyses. We conclude that combining different sampling techniques can be a way to reduce the risk of sampling error, which in turn can have a strong influence on the conclusions drawn from analyses of parliamentary texts.

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Publication Details

Journal
Digital Humanities in the Nordic and Baltic Countries Publications
Published
2025-02-28
DOI
https://doi.org/10.5617/dhnbpub.12237
Citations
1
Primary Topic
Computational and Text Analysis Methods
Type
article
Field-Weighted Citation Impact
5.34
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article

How You Sample Determines What You Find

Martin Karlsson, Christian Lundahl, Eric Borgström
1 citations
Digital Humanities in the Nordic and Baltic Countries Publications
Computational and Text Analysis Methods
5.34
article

How You Sample Determines What You Find

Martin Karlsson, Christian Lundahl, Eric Borgström
article en
1 citations

Abstract

This study addresses the issue of sampling error within research on subsets of parliamentary text corpora. Two samples of parliamentary speeches relating to the marketisation of the Swedish education system, drawn through different sampling techniques, are analysed and compared. The analyses find that diverging sampling methodologies can be complementary as each method adds substantial quantities of unique documents to the dataset. Further, the diverging sampling methodologies employed produce documents with similar semantic content. However, analyses of the distribution of speeches between party affiliations and speakers indicate vast differences between the two samples. These results indicate that sampling frames can substantially influence the findings of parliamentary text analyses. We conclude that combining different sampling techniques can be a way to reduce the risk of sampling error, which in turn can have a strong influence on the conclusions drawn from analyses of parliamentary texts.

Digital Humanities in the Nordic and Baltic Countries PublicationsVol. 7(1)
European Parliament (BE)
Openalex Percentile: Top 7%
Computational and Text Analysis Methods
5.34
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