HEGSRR / OR-Replicability-in-Geography-Survey

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A Survey of Researcher Perceptions of Replication in Geography

Abstract

Replications confront existing explanations with new evidence by retesting prior claims using new data and similar research procedures. Publishing replication studies remains uncommon in the geographic literature. Place-to-place variations make it unclear whether the results and claims of a study should be expected to replicate across locations, while a lack of experimental control makes it challenging to implement replications that can provide clear evidence about those same results and claims. The small number of studies that have attempted to replicate geographic research suggest that many studies cannot be fully replicated, or are simply missing information needed to attempt a replication. Accordingly, it remains unclear how geographic researchers view replication and its role in the knowledge accumulation process. To address this question, we surveyed geographic researchers about their understanding of replicability, beliefs about what factors affect the chances of replicating a study, motivations to attempt replication studies, and experiences conducting replications. The results of our survey suggest that researchers are familiar with replication and believe that replication studies can serve a range of epistemological functions. Nonetheless, only a small percentage of geographic researchers attempt or publish replications due to a lack of incentives. Researchers are similarly uncertain whether it is currently valuable to replicate geographic research. These findings may in part be due to differences between research traditions, and it may be fruitful to further examine how researchers working in different subfields perceive and use replication in their work.

Authors

Key words

Replicability, Open Science, Geographic Research Methods, Epistemology, Survey

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Repository Contents

The contents of this repository are outlined in three tables:

Additionally, the docs/presentation directory contains code for a Shiny App data visualization.

The template_readme.md file contains more information on structure and rationale of this research template repository, as well as important references and licenses.