Replication? Open Data? Yes, please!

Tschichold, Cornelia; Alzahrani, Maha

doi:https://doi.org/

Conference Paper/Proceeding/Abstract 657 views

Replication? Open Data? Yes, please!

Cornelia Tschichold

, Maha Alzahrani

Proceedings of XIXth International CALL Conference: CALL in Context., Pages: 336 - 340

Swansea University Author: Cornelia Tschichold

Abstract

This conference’s focus on open data comes at a time when replication studies are increasingly being recognized as necessary for confirming trends found in original research publications. Successful replications rely on transparency in terms of data and methodology. If a study is well-designed, tran...

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Published in:	Proceedings of XIXth International CALL Conference: CALL in Context.
ISBN:	9789057285943
Published:	Antwerpen University of Antwerpen 2018
URI:	https://cronfa.swan.ac.uk/Record/cronfa58685
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first_indexed	2021-11-16T20:42:25Z
last_indexed	2021-12-09T04:17:07Z
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recordtype	SURis
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spelling	2021-12-08T11:34:05.1426088 v2 58685 2021-11-16 Replication? Open Data? Yes, please! 7ab58ba7c36c98911ed94a11fc7e5cb2 0000-0001-8487-2209 Cornelia Tschichold Cornelia Tschichold true false 2021-11-16 APLI This conference’s focus on open data comes at a time when replication studies are increasingly being recognized as necessary for confirming trends found in original research publications. Successful replications rely on transparency in terms of data and methodology. If a study is well-designed, transparent and open in its description, it can also serve as an excellent tool for beginning researchers to learn about the methodologies and types of data analysis typically used in a field. A study on vocabulary learning, for instance, needs the description of the tests in the published paper to be clear and detailed enough to either re-use the tests without any changes, or allow for the construction of a close equivalent. The example described in this presentation fulfills this requirement and serves to illustrate the core argument that replications can be invaluable tools for teaching as well as strengthening the research findings. Conference Paper/Proceeding/Abstract Proceedings of XIXth International CALL Conference: CALL in Context. 336 340 University of Antwerpen Antwerpen 9789057285943 1 9 2018 2018-09-01 COLLEGE NANME Applied Linguistics COLLEGE CODE APLI Swansea University 2021-12-08T11:34:05.1426088 2021-11-16T20:29:35.1104640 Faculty of Humanities and Social Sciences School of Culture and Communication - English Language, Tesol, Applied Linguistics Cornelia Tschichold 0000-0001-8487-2209 1 Maha Alzahrani 2
title	Replication? Open Data? Yes, please!
spellingShingle	Replication? Open Data? Yes, please! Cornelia Tschichold
title_short	Replication? Open Data? Yes, please!
title_full	Replication? Open Data? Yes, please!
title_fullStr	Replication? Open Data? Yes, please!
title_full_unstemmed	Replication? Open Data? Yes, please!
title_sort	Replication? Open Data? Yes, please!
author_id_str_mv	7ab58ba7c36c98911ed94a11fc7e5cb2
author_id_fullname_str_mv	7ab58ba7c36c98911ed94a11fc7e5cb2_***_Cornelia Tschichold
author	Cornelia Tschichold
author2	Cornelia Tschichold Maha Alzahrani
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container_title	Proceedings of XIXth International CALL Conference: CALL in Context.
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publishDate	2018
institution	Swansea University
isbn	9789057285943
publisher	University of Antwerpen
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hierarchy_parent_title	Faculty of Humanities and Social Sciences
department_str	School of Culture and Communication - English Language, Tesol, Applied Linguistics{{{_:::_}}}Faculty of Humanities and Social Sciences{{{_:::_}}}School of Culture and Communication - English Language, Tesol, Applied Linguistics
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description	This conference’s focus on open data comes at a time when replication studies are increasingly being recognized as necessary for confirming trends found in original research publications. Successful replications rely on transparency in terms of data and methodology. If a study is well-designed, transparent and open in its description, it can also serve as an excellent tool for beginning researchers to learn about the methodologies and types of data analysis typically used in a field. A study on vocabulary learning, for instance, needs the description of the tests in the published paper to be clear and detailed enough to either re-use the tests without any changes, or allow for the construction of a close equivalent. The example described in this presentation fulfills this requirement and serves to illustrate the core argument that replications can be invaluable tools for teaching as well as strengthening the research findings.
published_date	2018-09-01T04:15:24Z
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Replication? Open Data? Yes, please!

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