£300 will be awarded every two years to a published (or accepted) self-labelled replication* using materials held on IRIS.

Call for submissions 2022:

i) the article or chapter (with evidence of accepted or ‘in press’ status if not already published);

ii) the materials from IRIS and any adaptations of them (adaptations should also be uploaded to IRIS, with a Note to link it to the earlier study’s materials). Please provide the url(s) linking to the materials on IRIS in a short cover letter.

IRIS now accepts data of all kinds, and we encourage applicants to submit their data (raw or reduced where necessary) along with their other materials.

Submissions can be made to iris@iris-database.org at any time. This round will close at midnight (GMT) on 30th November 2022. The study must have been published (or accepted) from 1st December 2020 onwards. All submissions will be reviewed by the IRIS directors and up to two anonymous reviewers. The award will be announced by 30th January 2023.

Please note that IRIS operates the following system to reduce any conflict of interest:

If the selected article is from one of the journals in which one of the directors of IRIS is involved as an editor, that person's evaluations are withdrawn from the final decision-making.

If the selected article continues to receive the highest evaluations among the remaining evaluations, then the award can go ahead. If the selected article no longer receives the highest evaluations, all the evaluations are considered again but with the evaluation by the reviewer in question for the previously selected article withdrawn from the process.

Replications using materials developed by IRIS Directors (Emma Marsden, Luke Plonsky, and Cylcia Bolibaugh) are not eligible.

Submissions will be welcomed from any area of second language research (broadly defined, including multilingualism, language education, research methodology). All methodological approaches and theoretical perspectives are welcome.

Submissions will be reviewed against the following criteria:

Strength of the justification for the replication.

Soundness and transparency of methods and analysis, including clarity about how these are similar/different to those of the initial study.

How well the discussion and conclusions are warranted by the methods, data and analysis.

How well the findings from the initial study are integrated into the set-up, analysis and interpretation of the replication.

If two or more submissions meet all the above criteria equally, special consideration will then be given to replications with one or more of the following characteristics:

Multi-site replications

Open data

Pre-registered studies

Direct or partial replications (though we emphasize that conceptual replications, which change more than one significant variable, are also welcome)

Please direct any questions to iris@irisdatabase.org

*The study is labeled as a replication in the title and/or abstract.