A novel rater agreement methodology for language transcriptions: evidence from a nonhuman speaker

A novel rater agreement methodology for language transcriptions: evidence from a nonhuman speaker The ability to measure agreement between two independent observers is vital to any observational study. We use a unique situation, the calculation of inter-rater reliability for transcriptions of a parrot’s speech, to present a novel method of dealing with inter-rater reliability which we believe can be applied to situations in which speech from human subjects may be difficult to transcribe. Challenges encountered included (1) a sparse original agreement matrix which yielded an omnibus measure of inter-rater reliability, (2) “lopsided” $$2\times 2$$ 2 × 2 matrices (i.e. subsets) from the overall matrix and (3) categories used by the transcribers which could not be pre-determined. Our novel approach involved calculating reliability on two levels—that of the corpus and that of the above mentioned smaller subsets of data. Specifically, the technique included the “reverse engineering” of categories, the use of a “null” category when one rater observed a behavior and the other did not, and the use of Fisher’s Exact Test to calculate $$r$$ r -equivalent for the smaller paired subset comparisons. We hope this technique will be useful to those working in similar situations where speech may be difficult to transcribe, such as with small children. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Quality & Quantity Springer Journals

A novel rater agreement methodology for language transcriptions: evidence from a nonhuman speaker

Loading next page...
 
/lp/springer_journal/a-novel-rater-agreement-methodology-for-language-transcriptions-dqYzrhu7gh
Publisher
Springer Netherlands
Copyright
Copyright © 2013 by Springer Science+Business Media Dordrecht
Subject
Social Sciences, general; Methodology of the Social Sciences; Social Sciences, general
ISSN
0033-5177
eISSN
1573-7845
D.O.I.
10.1007/s11135-013-9894-5
Publisher site
See Article on Publisher Site

Abstract

The ability to measure agreement between two independent observers is vital to any observational study. We use a unique situation, the calculation of inter-rater reliability for transcriptions of a parrot’s speech, to present a novel method of dealing with inter-rater reliability which we believe can be applied to situations in which speech from human subjects may be difficult to transcribe. Challenges encountered included (1) a sparse original agreement matrix which yielded an omnibus measure of inter-rater reliability, (2) “lopsided” $$2\times 2$$ 2 × 2 matrices (i.e. subsets) from the overall matrix and (3) categories used by the transcribers which could not be pre-determined. Our novel approach involved calculating reliability on two levels—that of the corpus and that of the above mentioned smaller subsets of data. Specifically, the technique included the “reverse engineering” of categories, the use of a “null” category when one rater observed a behavior and the other did not, and the use of Fisher’s Exact Test to calculate $$r$$ r -equivalent for the smaller paired subset comparisons. We hope this technique will be useful to those working in similar situations where speech may be difficult to transcribe, such as with small children.

Journal

Quality & QuantitySpringer Journals

Published: Jul 13, 2013

References

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 12 million articles from more than
10,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Unlimited reading

Read as many articles as you need. Full articles with original layout, charts and figures. Read online, from anywhere.

Stay up to date

Keep up with your field with Personalized Recommendations and Follow Journals to get automatic updates.

Organize your research

It’s easy to organize your research with our built-in tools.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve Freelancer

DeepDyve Pro

Price
FREE
$49/month

$360/year
Save searches from Google Scholar, PubMed
Create lists to organize your research
Export lists, citations
Access to DeepDyve database
Abstract access only
Unlimited access to over
18 million full-text articles
Print
20 pages/month
PDF Discount
20% off