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Part 1: Document Description
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Citation |
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Title: |
Replication Data for: Measuring precision precisely: A Dictionary-Based Measure of Imprecision |
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Identification Number: |
doi:10.7910/DVN/2DACNY |
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Distributor: |
Harvard Dataverse |
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Date of Distribution: |
2022-09-14 |
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Version: |
1 |
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Bibliographic Citation: |
Gastinger, Markus; Schmidtke, Henning, 2022, "Replication Data for: Measuring precision precisely: A Dictionary-Based Measure of Imprecision", https://doi.org/10.7910/DVN/2DACNY, Harvard Dataverse, V1 |
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Citation |
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Title: |
Replication Data for: Measuring precision precisely: A Dictionary-Based Measure of Imprecision |
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Identification Number: |
doi:10.7910/DVN/2DACNY |
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Authoring Entity: |
Gastinger, Markus (University of Salzburg) |
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Schmidtke, Henning (GIGA German Institute for Global and Area Studies, Hamburg, Germany) |
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Distributor: |
Harvard Dataverse |
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Access Authority: |
Gastinger, Markus |
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Depositor: |
Gastinger, Markus |
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Date of Deposit: |
2022-08-20 |
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Holdings Information: |
https://doi.org/10.7910/DVN/2DACNY |
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Study Scope |
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Keywords: |
Social Sciences, Social Sciences, International organizations |
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Abstract: |
<b>Abstract:</b> How can we measure and explain the precision of international organizations’ (IOs) founding treaties? We define precision by its negative – imprecision – as indeterminate language that intentionally leaves a wide margin of interpretation for actors after agreements enter into force. Compiling a “dictionary of imprecision” from almost 500 scholarly contributions and leveraging insight from linguists that a single vague word renders the whole sentence vague, we introduce a dictionary-based measure of imprecision (DIMI) that is replicable, applicable to all written documents, and yields a continuous measure bound between zero and one. To demonstrate that DIMI usefully complements existing approaches and advances the study of (im-)precision, we apply it to a sample of 76 IOs. Our descriptive results show high face validity and closely track previous characterizations of these IOs. Finally, we explore patterns in the data, expecting that imprecision in IO treaties increases with the number of states, power asymmetries, and the delegation of authority, while it decreases with the pooling of authority. In a sample of major IOs, we find robust empirical support for the power asymmetries and delegation propositions. Overall, DIMI provides exciting new avenues to study precision in International Relations and beyond. <br><br> The files uploaded entail the material necessary to replicate the results from the article and Online appendix published in: Gastinger, M. and Schmidtke, H. (2022) ‘Measuring precision precisely: A dictionary-based measure of imprecision’, <i>The Review of International Organizations</i>, available at Doi: <a href="https://doi.org/10.1007/s11558-022-09476-y">10.1007/s11558-022-09476-y</a>. <br><br> Please let us know if you spot any mistakes or if we may be of any further assistance! |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Other Study Description Materials |
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Related Publications |
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Citation |
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Identification Number: |
10.1007/s11558-022-09476-y |
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Bibliographic Citation: |
Gastinger, M. and Schmidtke, H. (2022) ‘Measuring precision precisely: A dictionary-based measure of imprecision’, <i>The Review of International Organizations</i>. |
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Label: |
Appendix.pdf |
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Text: |
Additional information on our study. |
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Notes: |
application/pdf |
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Label: |
replication_data.zip |
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Text: |
Zip file containing all files necessary for replication and to use DIMI on your own data. Please download and unzip, then turn to readme.txt for further instructions. |
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Notes: |
application/zip |