Kalpana Shankar

Dublin City University
Country flagIreland

Research Interests

Explore related searches

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

Articles (8)

Year:

2022

Year:

2022

One of the main critiques of academic peer review is that interrater reliability (IRR) among reviewers is low. We examine an underinvestigated factor possibly contributing to low IRR: reviewers’ diversity in their topic-criteria mapping (“TC-mapping”). It refers to differences among reviewers pertaining to which topics they choose to emphasize in their evaluations, and how they map those topics onto various evaluation criteria. In this paper we look at the review process of grant proposals in one funding agency to ask: How much do reviewers differ in TC-mapping, and do their differences contribute to low IRR? Through a content analysis of review forms submitted to a national funding agency (Science Foundation Ireland) and a survey of its reviewers, we find evidence of interreviewer differences in their TC-mapping. Using a simulation experiment we show that, under a wide range of conditions, even strong differences in TC-mapping have only a negligible impact on IRR. Although further empirical work is needed to corroborate simulation results, these tentatively suggest that reviewers’ heterogeneous TC-mappings might not be of concern for designers of peer review panels to safeguard IRR.

Year:

2022

Year:

2022

Year:

2021

Year:

2021

Year:

2021

Year:

2021

Collaborators (6)

Fiona McGaughey

University of Western Australia

AUSTRALIA
View details

Martin Reinhart

Humboldt-Universität zu Berlin

GERMANY
View details

Andrea Thomer

Assistant Professor

University of Arizona

UNITED STATES
View details

Lai Ma

Assistant Professor

Dublin City University

IRELAND
View details

Ayoung Yoon

Assistant Professor

Indiana University-Purdue University Indianapolis

UNITED STATES
View details

Cathryn Knight

University of Bristol

UNITED KINGDOM
View details
ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.