Katie Drager – författare

In Dimensions of Linguistic Variation, the contributors investigate evidence for the myriad factors which influence language variation and change, and consider how to best account for these factors in data and metadata coding. Given linguists' increasing ability to preserve and share data, questions arise around the possibility of comparing data from different communities: how should a corpus builder model, elicit, encode, analyze, and archive data that have been collected from highly diverse groups of speakers, from situations beyond the sociolinguistic interview, in a way that supports re-use, comparison across collections, and longer-term archiving? Answering these questions requires a highly nuanced understanding of the social influences on speech variation. Social differences between communities and contexts can permit or encourage comparisons, in some cases, and render comparisons impossible, in others. The current volume builds on a rich foundation of insight from the sociolinguistics community as to how community-specific social distinctions shape variation and change within a given community and presents new, state-of-the-art insights from a diverse range of community and context types. The editors have compiled a volume which will enable researchers both to expand the established set of variables expected to be considered in any community study, and to categorize data and results in ways that best permit cross-community comparisons. They present the issues involved in research planning, the modeling of the target community, subject selection, the elicitation and coding of demographic, situational and attitudinal factors, and how they all affect analysis and potential reuse.

In Dimensions of Linguistic Variation, the contributors investigate evidence for the myriad factors which influence language variation and change, and consider how to best account for these factors in data and metadata coding. Given linguists' increasing ability to preserve and share data, questions arise around the possibility of comparing data from different communities: how should a corpus builder model, elicit, encode, analyze, and archive data that have been collected from highly diverse groups of speakers, from situations beyond the sociolinguistic interview, in a way that supports re-use, comparison across collections, and longer-term archiving? Answering these questions requires a highly nuanced understanding of the social influences on speech variation. Social differences between communities and contexts can permit or encourage comparisons, in some cases, and render comparisons impossible, in others. The current volume builds on a rich foundation of insight from the sociolinguistics community as to how community-specific social distinctions shape variation and change within a given community and presents new, state-of-the-art insights from a diverse range of community and context types. The editors have compiled a volume which will enable researchers both to expand the established set of variables expected to be considered in any community study, and to categorize data and results in ways that best permit cross-community comparisons. They present the issues involved in research planning, the modeling of the target community, subject selection, the elicitation and coding of demographic, situational and attitudinal factors, and how they all affect analysis and potential reuse.

An accessible, user-friendly guide to the variety of different experimental methods used in sociolinguistics, Experimental Research Methods in Sociolinguistics walks students through the “how-to” of experimental methods used to investigate variation in both speech production and perception. Focusing squarely on practice and application, it takes the reader from defining a research question, to choosing an appropriate framework, to completing a research project. Featuring a companion website with information on experiment-friendly software, sample experiments and suggestions for work to undertake, the book also covers:-Ethical concerns-How to measure production and perception-How to construct and use corpora