1 to 10 of 21 Results
Apr 13, 2023
Koop, Christel; Scotto di Vettimo, Michele, 2023, "Replication Data for: Non-majoritarian institutions, media coverage, and 'reinforced accountability'", https://doi.org/10.7910/DVN/OW2DYD, Harvard Dataverse, V1
Replication Data for: Non-majoritarian institutions, media coverage, and 'reinforced accountability', Governance (2023). DOI: https://doi.org/10.1111/gove.12785. |
Apr 13, 2023 -
Replication Data for: Non-majoritarian institutions, media coverage, and 'reinforced accountability'
MS Excel Spreadsheet - 161.9 KB -
MD5: 810124bf739480cd7cab6bbe434d8446
Main analysis dataset |
Apr 13, 2023 -
Replication Data for: Non-majoritarian institutions, media coverage, and 'reinforced accountability'
R Syntax - 2.3 KB -
MD5: f2eb5b3931e97a3b00acb6e401673ffb
Code with user-written functions |
Apr 13, 2023 -
Replication Data for: Non-majoritarian institutions, media coverage, and 'reinforced accountability'
MS Excel Spreadsheet - 26.3 KB -
MD5: 81954142cbe65812986e6d028dec76e0
Dataset for reproducing figures on references to inflation in media articles |
Apr 13, 2023 -
Replication Data for: Non-majoritarian institutions, media coverage, and 'reinforced accountability'
R Syntax - 25.9 KB -
MD5: 626a6b688fc9f8b2e1584303c05e61f1
Main replication code |
Nov 16, 2022
Scotto di Vettimo, Michele, 2022, "Replication Data for: Measuring public support for European integration using a Bayesian item response theory model", https://doi.org/10.7910/DVN/SGO4OJ, Harvard Dataverse, V2, UNF:6:bX4gt2Tw+MYLj25pslqXLg== [fileUNF]
Replication material for: "Measuring public support for European integration using a Bayesian item response theory model", European Union Politics (2022). DOI: 10.1177/14651165221080400 |
Nov 16, 2022 -
Replication Data for: Measuring public support for European integration using a Bayesian item response theory model
RAR Archive - 1.5 MB -
MD5: 3a50a16e1e3b531eda4fe733a6c37ca4
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Apr 11, 2022 -
Replication Data for: Measuring public support for European integration using a Bayesian item response theory model
Tabular Data - 61.0 KB - 24 Variables, 265 Observations - UNF:6:ZkcKRe9aI6xvvqTR3ANdMg==
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Apr 11, 2022 -
Replication Data for: Measuring public support for European integration using a Bayesian item response theory model
R Syntax - 31.0 KB -
MD5: afdd805dddf157affa9052fa9d94ba70
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Apr 11, 2022 -
Replication Data for: Measuring public support for European integration using a Bayesian item response theory model
R Syntax - 9.7 KB -
MD5: f18442cd129a22fb31609e0a5b2d3329
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