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Shall we Really do it Again? The Powerful Concept of Replication is Neglected in the Social Sciences

2009/06/01 by Stefan Schmidt · 1 voice · 807 citations
Arts and Humanities · Computer Science · Mathematics · Psychology · #Bayesian Modeling and Causal Inference #Cognitive science #Computer science #Computer security #Data science #Epistemology #Exploit #Mathematics #Mental Health Research Topics #Philosophy and History of Science #Point (geometry) #Psychology #Replication (statistics) #Set (abstract data type)

paper · doi:10.1037/a0015108

published in Review of General Psychology 13(2), 90-100 (SAGE Publications)

crossref issued 2009/06/01 · crossref published 2009/06/01 · crossref published-online 2009/06/01 · crossref published-print 2009/06/01 · openalex publication_date 2009/06/01 · crossref created 2009/06/01 · crossref deposited 2025/03/10 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05 · crossref indexed 2026/08/05

Abstract

Replication is one of the most important tools for the verification of facts within the empirical sciences. A detailed examination of the notion of replication reveals that there are many different meanings to this concept and the relevant procedures, but hardly any systematic literature. This paper analyzes the concept of replication from a theoretical point of view. It demonstrates that the theoretical demands are scarcely met in everyday work within the social sciences. Some demands are just not feasible, whereas others are constricted by restrictions relating to publication. A new classification scheme based on a functional approach that distinguishes between different types of replication is proposed. Next, it will be argued that replication addresses the important connection between existing and new knowledge. To do so it has to be applied explicitly and systematically. The paper ends with a description of procedures how this could be done and a set of recommendations how to handle the concept of replication in the future to exploit its potential to the full.

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