Evidence map›Paper›PMID 36465715›Full record

ArticlePolitische Vierteljahresschrift2023

Special Issue Introduction: The GLES Open Science Challenge 2021: A Pilot Project on the Applicability of Registered Reports in Quantitative Political Science.

Hannah Bucher, Anne-Kathrin Stroppe, Axel M Burger, Thorsten Faas, Harald Schoen, Marc Debus, Sigrid Roßteutscher

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Politische Vierteljahresschrift, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 78% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 1 country.

Hannah BucherGESIS-Leibniz Institute for the Social Sciences, PO Box 12 21 55, 68072 Mannheim, Germany.ORCID 0000-0003-0846-8276
Anne-Kathrin StroppeGESIS-Leibniz Institute for the Social Sciences, PO Box 12 21 55, 68072 Mannheim, Germany.
Axel M BurgerGESIS-Leibniz Institute for the Social Sciences, PO Box 12 21 55, 68072 Mannheim, Germany.
Thorsten FaasFreie Universität Berlin, Berlin, Germany.
Harald SchoenUniversity of Mannheim, Mannheim, Germany.
Marc DebusUniversity of Mannheim, Mannheim, Germany.
Sigrid RoßteutscherGoethe University Frankfurt, Frankfurt, Germany.
GESIS - Leibniz-Institute for the Social Sciences · DEUniversity of Mannheim · DEFreie Universität Berlin · DEGoethe University Frankfurt · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The GLES Open Science Challenge 2021 was a pioneering initiative in quantitative political science. Aimed at increasing the adoption of replicable and transparent research practices, it led to this special issue. The project combined the rigor of registered reports-a new publication format in which studies are evaluated prior to data collection/access and analysis-with quantitative political science research in the context of the 2021 German federal election. This special issue, which features the registered reports that resulted from the project, shows that transparent research following open science principles benefits our discipline and substantially contributes to quantitative political science. In this introduction to the special issue, we first elaborate on why more transparent research practices are necessary to guarantee the cumulative progress of scientific knowledge. We then show how registered reports can contribute to increasing the transparency of scientific practices. Next, we discuss the application of open science practices in quantitative political science to date. And finally, we present the process and schedule of the GLES Open Science Challenge and give an overview of the contributions included in this special issue.

Indexed as

2021 German federal electionElectoral researchGerman Longitudinal Election Study (GLES)Open scienceQuantitative political scienceRegistered reports

Identifiers

PMID36465715
PMCPMC9684978
OpenAlexW4309650761

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.