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How You Sample Determines What You Find: Investigating Bias in Parliamentary Data Sampling Methods
Örebro University, School of Humanities, Education and Social Sciences. (Open Parliament Laboratory (OPaL))ORCID iD: 0000-0002-5485-8577
Örebro University, School of Humanities, Education and Social Sciences. (Open Parliament Laboratory (OPaL))ORCID iD: 0000-0002-0126-0416
Örebro University, School of Humanities, Education and Social Sciences. (Open Parliament Laboratory (OPaL))ORCID iD: 0000-0001-8173-7474
2025 (English)In: Digital Humanities in the Nordic and Baltic Countries Publications, E-ISSN 2704-1441, Vol. 7, no 1, p. 79-89Article in journal (Refereed) Published
Abstract [en]

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 thr ough 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 distributi on of speeches between party affiliations and speakers indicate va st 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 ris k of sampling error, which in turn can have a strong influence on the conclusions drawn from analyses of parliamentary texts. 

Place, publisher, year, edition, pages
Oslo: University of Oslo , 2025. Vol. 7, no 1, p. 79-89
Keywords [en]
Parliamentary data, sampling error, school marketisation
National Category
Political Science
Research subject
Political Science
Identifiers
URN: urn:nbn:se:oru:diva-119622DOI: 10.5617/dhnbpub.12237OAI: oai:DiVA.org:oru-119622DiVA, id: diva2:1941619
Conference
Digital Humanities in the Nordic and Baltic Countries 2024 - Digital Parliamentary Data in Action (DiPaDA 2024) workshop
Projects
Utbildningspolitiken avkodad: Datorlingvistika metoder för utbildningspolitisk forskningMarknadsskolan avkodad - datalingvistsiska analyser av 40 års utbildningspolitik
Funder
Swedish Research Council, 2022-04606; 2023-04477Available from: 2025-03-01 Created: 2025-03-01 Last updated: 2025-03-03Bibliographically approved

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Karlsson, MartinBorgström, EricLundahl, Christian

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3940414243444542 of 157
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