The DOI matches its Crossref record; 115 of the 115 references it cites were found in a registry or an index.
Statistical methods for linguistic research: Foundational Ideas—Part II
Open accessAbstract
We provide an introductory review of Bayesian data analytical methods, with a focus on applications for linguistics, psychology, psycholinguistics, and cognitive science. The empirically oriented researcher will benefit from making Bayesian methods part of their statistical toolkit due to the many advantages of this framework, among them easier interpretation of results relative to research hypotheses and flexible model specification. We present an informal introduction to the foundational ideas behind Bayesian data analysis, using, as an example, a linear mixed models analysis of data from a typical psycholinguistics experiment. We discuss hypothesis testing using the Bayes factor and model selection using cross‐validation. We close with some examples illustrating the flexibility of model specification in the Bayesian framework. Suggestions for further reading are also provided.
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Interference patterns in subject-verb agreement and reflexives revisited: A large-sample study
Jäger, L. A., Mertzen, D., Van Dyke, J. A., & Vasishth, S. (2020) · Journal of Memory and Language · doi:10.1016/j.jml.2019.104063 · Cited by 142
Self-citationWhat did we learn from forty years of research on semantic interference? A Bayesian meta-analysis
Bürki, A., Elbuy, S., Madec, S., & Vasishth, S. (2020) · Journal of Memory and Language · doi:10.1016/j.jml.2020.104125 · Cited by 124
Self-citationUnderstanding the keystroke log: the effect of writing task on keystroke features
Conijn, R., Roeser, J., & van Zaanen, M. (2019) · Reading and Writing · doi:10.1007/s11145-019-09953-8 · Cited by 55
Metadata
- Authors
- Nicenboim, B., & Vasishth, S.
- Venue
- Language and Linguistics Compass
- Publisher
- Wiley
- Published
- 2016-11
- Volume
- 10
- Issue
- 11
- Pages
- 591-613
- ISSN
- 1749-818X (ISSN-L)
- OpenAlex
- W2284755322
- Cited by
- 263
- References
- 115
- FWCI
- 17.53
- Type
- journal article
- Language
- en
- Open access
- green
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