30218
Hauptseminar
Data Analysis for Research Transparency: Reproducibility and Replication
Claudia Traini
Kommentar
Replication studies are a cornerstone of scientific progress. By attempting to reproduce the results of existing empirical work, researchers test the robustness, transparency, and generalizability of published findings. In recent years, concerns about the replication crisis in several disciplines have highlighted the importance of making research practices more transparent and reproducible.
For students, engaging in a replication study is an invaluable way to understand the scientific process in practice. It fosters critical thinking about research design, data quality, and analytical choices, and it deepens technical skills in data analysis.
This course is built around the replication of empirical studies. We will begin by working together on one exemplary article during the first part of the seminar. The initial sessions will focus on study design, challenges related to operationalization, and the theoretical underpinnings of OLS regression. In the following sessions, we will replicate the selected paper, each time altering a specific element such as a design feature, variable operationalization, or modeling choice.
During the second part of the seminar, you will carry out a replication of a different published study, either individually or in groups. The course will rely on Stata as the main software tool for data analysis. Schließen
For students, engaging in a replication study is an invaluable way to understand the scientific process in practice. It fosters critical thinking about research design, data quality, and analytical choices, and it deepens technical skills in data analysis.
This course is built around the replication of empirical studies. We will begin by working together on one exemplary article during the first part of the seminar. The initial sessions will focus on study design, challenges related to operationalization, and the theoretical underpinnings of OLS regression. In the following sessions, we will replicate the selected paper, each time altering a specific element such as a design feature, variable operationalization, or modeling choice.
During the second part of the seminar, you will carry out a replication of a different published study, either individually or in groups. The course will rely on Stata as the main software tool for data analysis. Schließen
16 Termine
Regelmäßige Termine der Lehrveranstaltung
Di, 14.10.2025 16:00 - 18:00
Di, 21.10.2025 16:00 - 18:00
Di, 28.10.2025 16:00 - 18:00
Di, 04.11.2025 16:00 - 18:00
Di, 11.11.2025 16:00 - 18:00
Di, 18.11.2025 16:00 - 18:00
Di, 25.11.2025 16:00 - 18:00
Di, 02.12.2025 16:00 - 18:00
Di, 09.12.2025 16:00 - 18:00
Di, 16.12.2025 16:00 - 18:00
Di, 06.01.2026 16:00 - 18:00
Di, 13.01.2026 16:00 - 18:00
Di, 20.01.2026 16:00 - 18:00
Di, 27.01.2026 16:00 - 18:00
Di, 03.02.2026 16:00 - 18:00
Di, 10.02.2026 16:00 - 18:00
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