Training
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Bodo Winter: Statistics in linguistics and phonetics: Thoughts on independence and generalizability
Statistics in linguistics and phonetics: Thoughts on independence and generalizability Invited talk by Bodo Winter (University of Birmingham) Linguistics and phonetics have undergone many quantitative revolutions that deeply affected the way data analysis is conducted, such as the shift away from significance tests like t-tests and ANOVAs to the generalized linear model framework. However, despite…
Children Learning Adjectives: Free research workshop and practitioner CPD
The Leeds Child Development Unit at the University of Leeds is hosting a researcher-practitioner online workshop on children’s descriptive vocabulary on Thursday March 18th, 1-5pm GMT. Event description: The role of vocabulary breadth and depth in children’s achievement at school and beyond is well recognised. One way of enriching vocabulary is through descriptive language. Classroom and clinical practice is designed to…
PsychoPy workshop 2020
In this workshop, you will learn now to use the intuitive Builder interface PsychoPy, including some of its recently developmed features (e.g. running studies online). This interface aims to be easy enough for use in undergraduate teaching, yet flexible enough for high-precision experimental psychology. Getting started with basic experiments is really easy, but this workshop…
Visualisation and analysis of linguistic data, using R
In this workshop, we will use the R package ‘tidyverse’ to pre-process and tidy sample datasets of different types (binary, categorical, continuous) and explore the data visually. Then we will discuss some basic principles underlying data analysis and learn how and when to apply these techniques, with a focus on linear regressions. The workshop will be taught by Dr Lauren…
Data simulation for power estimation
This one-day workshop is on data simulation in R. The aim is to give you hands-on experience simulating data, which in turn will help you develop a deeper understanding of key concepts in statistical analysis and experimental design. Specifically, the workshop aims to help you: Understand the basic idea of how data simulation works Understand…
Introduction to R and RStudio
This workshop will provide a practical introduction to the R statistical programming language and to the RStudio integrated development environment, which provides a powerful interface for working with R. This workshop is designed to support the one-day Power and Data Simulation workshop being held the following week. This shorter (two-hour) introductory workshop will help those…
Clustering, Classification, and Regression Tree Modelling
This workshop will introduce you to two exploratory methods to unveil intrinsic structure of data: clustering (an unsupervised approach where no class labels denoting an a priori partition of the objects are given) classification and regression (supervised approaches using known classes) Their application to linguistic research will be demonstrated by building appropriate feature vectors and…
PsychoPy workshop
In this workshop, you will learn now to use the intuitive Builder interface PsychoPy. This interface aims to be easy enough for use in undergraduate teaching, yet flexible enough for high-precision experimental psychology. Getting started with basic experiments is really easy, but this workshop will show you how to extend those simple experiments into more…
Python: introductory workshop
This workshop will introduce you to Python, a high-level programming language for general-purpose programming that focuses on code readability and efficiency. It will prepare you for the PsychoPy workshop (7th of June) by familiarising you with key Python objects (variables, lists and dicts, if-statements, and for-loops). The workshop will be delivered by Martin Callaghan. Attendance…
Quantile regression: when to use it and how
Linear regression models are statistical tools used to uncover the relation between a response variable and set of predictor variables. Standard least-squares linear regression estimates how the mean response varies with the predictors. However, there are cases where the behaviour of the mean response is not the main object of interest. For example, suppose that we are interested in quantifying the relation…