Birmingham Statistics for Linguists Summer School

Skubisz, J. (Participant)

Activity: Participating in or organising an eventParticipation in workshop, seminar, course

Description

The summer school will be convened by Bodo Winter (University of Birmingham), Timo Roettger (Northwestern University) and Márton Sóskuthy (University of York). Additional optional sessions will be offered by our local staff of quantitative linguists, including Isobelle Clark, Matteo Fuoli, Jason Grafmiller, Jack Grieve, Michaela Mahlberg and Viola Wiegand.

We will provide a comprehensive overview of current statistical methods that are commonly used in linguistics and related fields. The ultimate goal is for participants to become competent users of these techniques and gain a better understanding of their own data.

The sessions will cover topics such as:

Introduction to the R programming language
Data wrangling
Reproducible research practices
Data visualisation
Linear models
Poisson and logistic regression
Linear mixed effects models
Bayesian modelling
Growth Curve Analysis
Generalised additive models
Additional optional sessions will cover topics such as:

Mapping and Spatial Analysis
Resampling techniques (bootstrapping, permutation tests)
Multidimensional Scaling and Principal Components Analysis
Classification and Regression Trees and Random Forests
Confirmatory and Exploratory Factor Analysis
Path Analysis and Structural Equation Models
Multiple Correspondence Analysis
Simulating data for power and Type I error simulations
Corpus statistics and co-occurrence comparisons
The workshop will combine theory sessions with hands-on analysis examples. There will be opportunities for students to present their own work and receive feedback from our expert team. We have planned social activities to also make this an opportunity for networking for all participants. Additional review materials will be available online after the course, including video recordings of each session.

The summer school is open to undergraduate, postgraduate, and doctoral students, as well as researchers who want to improve their skills in applying statistical methods in their own research. No statistical, mathematical or programming background is required.
Period4 Jun 2018 - 8 Jun 2018
Event typeWorkshop
LocationBirmingham, United Kingdom
Degree of RecognitionInternational