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Introduction: What is Good Data

A lecture in Advanced Core Training in Linguistics (ACTL) , 23 October 2009, University College London. The first lecture of the "Getting Good Data" course. Instructor: Dr. Greg Kochanski

Course Description

In research, there is no substitute for getting good data: working with defective data is always difficult, and best avoided. The aim of this course is to introduce beginning research students about a variety of "best practices" in getting language data, of various types. A secondary aim is to showcase some interesting linguistic resources that students might not otherwise have encountered or think of using. In some respects, you might think of it as an advanced training in research methods.

There will be five 1h30m lectures, the first four of which are supplemented by 1-hour tutorials in the following week.


The actual lecture given is at

Experimental Design

Good data is the result of a good experimental design.


Estimating the size of experiments. Practical design of experiments. Discussion of tips and techniques for particular kinds of data collection.

Students may wish to read "The Cartoon Guide to Statistics," by Larry Gonick and Woollcott Smith, HarperCollins Publishers, 1993. ISBN 0-06-273102-5.

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