Danielle Daidone [dæn.ˈjɛl deɪ.ˈdoʊn]
Assistant Professor of Spanish
University of North Carolina Wilmington
PhD in Second Language Studies and Hispanic Linguistics, Indiana University
LATEST BLOG POSTS
Coding a free classification task
Once you have results for your free classification task, you'll need to code what stimuli participants grouped together. We recommend having around 30 participants or more for your eventual analysis. If you use the format pictured below, you will then be able to use an R script that creates similarity matrices from your data.
Creating a free classification task
In this post I'll discuss how to create a free classification task, also known as a free sort task, which we apply to non-native perception in Daidone, Kruger, and Lidster (2015). This task is useful for determining the perceptual similarity of non-native sounds and examining what acoustic, phonological, or indexical dimensions of the stimuli matter for listeners. It can be used to examine segmental or suprasegmental phenomena and can be used to predict their discriminability (check out our slides from New Sounds 2019). Here is an example of what our Finnish length free classification task looks like in PowerPoint. The numbers on the slide are sound files that participants click on and listen to and then group by which seem similar to them.
My research focuses on second language phonology, with a particular emphasis on perception and lexical representations. I also work on input in the foreign language classroom, as well as variation in L1 and L2 Spanish. When I'm not analyzing speech, you can find me dancing salsa (preferably on 2!) or escaping reality with a good book.