Předmět Statistics and Corpora for Cognitive Linguistics (AJ22099)

Na serveru studentino.cz naleznete nejrůznější studijní materiály: zápisky z přednášek nebo cvičení, vzorové testy, seminární práce, domácí úkoly a další z předmětu AJ22099 - Statistics and Corpora for Cognitive Linguistics, Filozofická fakulta, Masarykova univerzita (MU).

Materiál	Typ	Datum	Počet stažení

Cíl

To run the basic functionalities of R, the most widely used statistical program in the social sciences.To be able to apply and interpret tests for statistical significanceTo be able apply multivariate statistical analyses on complex categorical data.To be able to apply and interpret binary logistic regression modelling of complex categorical

Osnova

Monday 27 Oct (3 hr)Session 1. IntroductionA summary of the method, it’s strengths and weakness and possible applications.In this session you sit and listen.Session 2. Research QuestionChoice of research topic, collection of data, and development of a coding schema.In this session we work together to obtain data to learn the method.Wednesday 29 Oct (4.5 hr)Session 3. RThe statistical program for doing statistics.In this session, we introduce the program R and learn how to manipulate data etcSession 4. Statistical significanceProbability that what we have found is not just chanceIn this session, we introduce basic tests for statistical significance such as the Chi-Squared Test.Session 5. Correspondence analysisA multivariate statistical technique for identifying complex patterns of association in the dataIn this session we learn how to apply and interpret the techniqueThursday 30 Oct (4.5 hr)Session 6. Cluster AnalysisA multivariate statistical technique for identifying groups of similarities in the dataIn this session we learn how to apply and interpret the techniqueSession 7. Logistic RegressionConfirmatory modelling of data and calculation of predictive accuracy.In this session we learn how to apply and interpret the techniqueSession 8. Logistic Regression (cont.)Confirmatory modelling of data and calculation of predictive accuracy.In this session we learn how to apply and interpret the techniqueFriday 31 Oct (After the Linguistics Student Workshop and the public talk)Session 9. Optional - Your research! (1.5 hr)This session will be devoted to the participants’ personal projects and how the techniques can be applied to their research or studies. Also, considering the tight schedule, this session may be used to go back to problems encountered during the course.

Literatura

Baayen, R. H. (2008). Analyzing linguistic data: A practical introduction to statistics using R. Cambridge: Cambridge University Press.Glynn, D. & Robinson, J. (Eds.). (2014). Corpus Methods for Semantics. Quantitative studies in polysemy and synonymy. Amsterdam & Philadelphia: John Benjamins.Gries, St. Th., & Stefanowitsch, A. (Eds.). (2006). Corpora in Cognitive Linguistics: Corpus-based approaches to syntax and lexis. Berlin & New York: Mouton de Gruyter.Divjak, D. (2010a). Structuring the lexicon: A clustered model for near-synonymy. Berlin & New York: Mouton de Gruyter.Glynn, D. & Robinson, J. (Eds.). (2014). Corpus Methods for Semantics. Quantitative studies in polysemy and synonymy. Amsterdam & Philadelphia: John Benjamins.Dalgaard, P. (2008). Introductory statistics with R (2nd ed.). Dordrecht: Springer.Geeraerts, D., Grondelaers, St., & Bakema, P. (1994). The structure of lexical variation: Meaning, naming, and context. Berlin & New York: Mouton de Gruyter.Glynn, D., & Fischer, K. (Eds.) (2010). Quantitative Cognitive Semantics: Corpus-driven approaches. Berlin & New York: Mouton de Gruyter.Harrell, F. (2002). Regression modeling strategies: With Applications to linear models, logistic regression, and survival analysis. Heidelberg & New York: Springer Maindonald & Baun 2003 - Data Analysis and Grpahics using RGries, St. Th. (2013). Statistics for linguistics with R: A practical introduction (2nd ed.). Berlin & New York: Mouton de Gruyter.Husson, F., Lê, S., & Pagès, J. (2011). Exploratory multivariate analysis by example using R. London: Chapman & Hall.Dirven, R., Goossens, L., Putseys, Y., & Vorlat, E. (1982). The scene of linguistic action and its perspectivization by speak, talk, say, and tell. Amsterdam & Philadelphia: John Benjamins.Johnson, K. (2008). Quantitative methods in linguistics. Oxford: Blackwell.Faraway, J. (2006). Extending the linear model with R: Generalized linear, mixed effects and nonparametric regression models. London: Taylor & FrancisHosmer, D., & Lemeshow, S. (2013) [1989, 2000]. Applied logistic regression. Hoboken: John Wiley.

Garant

Jeffrey Alan Vanderziel, B.A.

Vyučující

doc. PhDr. Jana Chamonikolasová, Ph.D.Wei-lun Lu, Ph.D.