META-REP Videos

The projects of the first funding phase of META-REP would like to introduce themselves with short videos

A Large-scale Collaborative Assessment of the Replicability and Robustness of EEG Research - Part 1

Introduction of the subproject EEGManyLabs

2:05 | 19.02.2025 | ©Yuri Pavlov

A Large-scale Collaborative Assessment of the Replicability and Robustness of EEG Research - Part 2

Introduction of the subproject EEGManyPipelines

3:30 | 19.02.2025 | ©Niko Busch

Conceptual Replications - Guidelines for Implementation and Factors Influencing Replicability across Different Fields in Psychology

Introduction of the project Conceptual Replications - Guidelines for Implementation and Factors Influencing Replicability across Different Fields in Psychology

5:13 | 19.02.2025 | ©Marie-Ann Sengewald

Cognitive Modelling: Blessing or Curse for Replication in Psychology?

Introduction of the project Cognitive Modelling: Blessing or Curse for Replication in Psychology?

3:15 | 19.02.2025 | ©Manuel Rausch

Enhancing the Robustness of Observational Social Science Research by Computational Multi-Model Analyses

Introduction to the project Enhancing the Robustness of Observational Social Science Research by Computational Multi-Model Analyses

04:37 | 19.02.2025 | ©Katrin Auspurg

Explaining Heterogeneity in Direct Replications: Just Methodological Artefacts?

Introduction to the project Explaining Heterogeneity in Direct Replications: Just Methodological Artefacts?

04:45 | 19.02.2025 | ©Maximilian Frank

How an Academic System Can Achieve a Trustworthy Knowledge Base: Analyzing Reform Proposals in an Agent-based Modeling Approach

Introduction to the project How an Academic System Can Achieve a Trustworthy Knowledge Base: Analyzing Reform Proposals in an Agent-based Modeling Approach

04:54 | 19.02.2025 | ©Felix Schönbrodt

METEOR – MastEring ThE OppRessive number of forking paths unfolded by noisy and complex neural data

Introduction of the project METEOR – MastEring ThE OppRessive number of forking paths unfolded by noisy and complex neural data

10:21 | 19.02.2025 | ©Andrea Hildebrandt

Robustness and Replicability in Economics (R2E)

Introduction of the project Robustness and Replicability in Economics (R2E)

05:50 | 19.02.2025 | ©Julian Rose

Replicating Failed Replications: A Validity-based Framework for Predicting Replication Success

Introduction of the project Replicating Failed Replications: A Validity-based Framework for Predicting Replication Success

05:11 | 19.02.2025 | ©Marc Jekel

Standardization of Behavior Research Methods as a Determinant of Replicability

Introduction of the project Standardization of Behavior Research Methods as a Determinant of Replicability

05:55 | 19.02.2025 | ©Malte Elson

The Reproducibility and Robustness of Secondary Analyses in Educational Research: The Role of Publication Bias and Researcher Degress of Freedom

Introduction to the project The Reproducibility and Robustness of Secondary Analyses in Educational Research: The Role of Publication Bias and Researcher Degress of Freedom

06:19 | 19.02.2025 | ©Malte Jansen

The Role of Measurement in the Replicability of Empirical Findings

Introduction to the project The Role of Measurement in the Replicability of Empirical Findings

03:53 | 19.02.2025 | ©Eunike Wetzel

The Role of Theory in Understanding and Resolving the Reliability Crisis

Introduction of the project The Role of Theory in Understanding and Resolving the Reliability Crisis

03:30 | 19.02.2025 | ©Nate Breznau

Towards a Falsifiable Framework for Theories in Psychological Science

Introduction of the project Towards a Falsifiable Framework for Theories in Psychological Science

06:06 | 19.02.2025 | ©Xeina Schmalz

What Defines and Affects Replicability in Computational Communication Science?

Introduction of the project What Defines and Affects Replicability in Computational Communication Science?

04:35 | 19.02.2025 | ©Mario Haim