Dataset for "Quantifying the quantitative (re-)turn in historical linguistics"

This dataset contains the data analysed in the article "Quantifying the quantitative (re-)turn in historical linguistics" authored by Barbara McGillivray and Gard Jenset and published in the journal "Humanities and Social Sciences Communications" in 2023. The dataset contains our analysis of 63 articles published in 2018 in six historical linguistics journals (Diachronica, Folia Linguistica Historica, Journal of Historical Linguistics, Language Dynamics and change, Language variation and change, and Transactions of the Philological Society). We recorded the following information: the type evidence base used in the paper (digital corpora, word lists, examples, etc.) and the statistical techniques used for the analysis, if any (t-tests, regression models, principal component analysis, etc.). We then classified the articles across two dimensions: corpus-based vs. non corpus-based and quantitative vs. non quantitative.