1203 12 6492 2 35278 document 6492 MOH Technical Appendix Oct 2024.docx application/vnd.openxmlformats-officedocument.wordprocessingml.document f600ea906a88fef755d48296ad6b9882 MD5 4498364 2024-11-26 09:52:08 http://edata.bham.ac.uk/1203/1/MOH%20Technical%20Appendix%20Oct%202024.docx 1203 1 1 application/vnd.openxmlformats-officedocument.wordprocessingml.document text public cc_by_4
MOH Technical Appendix Oct 2024.docx
data 6493 1 35284 document 6493 indexcodes.txt text/x-c 5a96961efa0af18491f7af62093bba33 MD5 6371 2024-11-26 10:15:05 http://edata.bham.ac.uk/1203/2/indexcodes.txt 1203 2 2 text/x-c other Generate index codes conversion from text to indexcodes public
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data http://eprints.org/relation/isVersionOf http://edata.bham.ac.uk/id/document/6492 http://eprints.org/relation/isVolatileVersionOf http://edata.bham.ac.uk/id/document/6492 http://eprints.org/relation/isIndexCodesVersionOf http://edata.bham.ac.uk/id/document/6492 archive 611 disk0/00/00/12/03 2024-11-29 11:08:22 2024-11-29 11:46:58 2024-11-29 11:08:22 data_collection show Smith Andrew David Allan a.d.a.smith@bham.ac.uk 0000-0002-8589-7608 Cole Michael mscole@liverpool.ac.uk Kuesters Anselm kuesters@lhlt.mpg.de 0000-0002-1521-7611 University of Liverpool Max-Planck-Institut für Rechtsgeschichte und Rechtstheorie Technical Appendix for paper "How Do Speaker Characteristics Influence Use of Rhetorical History? Insights from Text Mining Analysis of Discourse About Brexit" 10col_socs text mining; Structural Topic Modelling; Brexit; Moral Foundations Theory; Rhetorical History This is the Technical Appendix for a paper that was accepted for publication by the journal Management and Organization History in November 2025. The title of the paper is "How Do Speaker Characteristics Influence Use of Rhetorical History? Insights from Text Mining Analysis of Discourse About Brexit". The University of Birmingham co-author is Dr Andrew D. Smith (Birmingham Business School). The Technical Appendix was prepared by Anselm Kuesters, an expert in Strutural Topic Modelling, the variant of text-mining we used to test our hypotheses. For the benefit of researchers familiar with text-mining methods, a detailed discussion of the data preparation, metadata coding, and econometric procedures used in our research is contained in the online Technical Appendix. Tables showing the results of our regression analysis are also to be found in our Technical Appendix. 2024-11-29 published University of Birmingham https://doi.org/10.25500/edata.bham.00001203 Text18 research-data@contacts.bham.ac.uk Birmingham Business School, Department of Management na na na FALSE 51.4995 0.1248 Westminster en