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The costs and benefits of replication studies

Published online by Cambridge University Press:  27 July 2018

Nicholas A. Coles
Affiliation:
Department of Psychology, Austin Peay Building, University of Tennessee, Knoxville, TN 37996. colesn@utk.edu
Leonid Tiokhin
Affiliation:
School of Human Evolution and Social Change, Arizona State University, Tempe, AZ 85281. ltiokhin@asu.eduhttp://leotiokhin.com/
Anne M. Scheel
Affiliation:
Department of Industrial Engineering and Innovation Sciences, Eindhoven University of Technology, 5600 MB, Eindhoven, The Netherlands. a.m.scheel@tue.nlp.isager@tue.nlD.Lakens@tue.nlhttp://www.tue.nl/staff/a.m.scheelhttp://www.tue.nl/staff/p.isagerhttp://www.tue.nl/staff/d.lakens
Peder M. Isager
Affiliation:
Department of Industrial Engineering and Innovation Sciences, Eindhoven University of Technology, 5600 MB, Eindhoven, The Netherlands. a.m.scheel@tue.nlp.isager@tue.nlD.Lakens@tue.nlhttp://www.tue.nl/staff/a.m.scheelhttp://www.tue.nl/staff/p.isagerhttp://www.tue.nl/staff/d.lakens
Daniël Lakens
Affiliation:
Department of Industrial Engineering and Innovation Sciences, Eindhoven University of Technology, 5600 MB, Eindhoven, The Netherlands. a.m.scheel@tue.nlp.isager@tue.nlD.Lakens@tue.nlhttp://www.tue.nl/staff/a.m.scheelhttp://www.tue.nl/staff/p.isagerhttp://www.tue.nl/staff/d.lakens

Abstract

The debate about whether replication studies should become mainstream is essentially driven by disagreements about their costs and benefits and the best ways to allocate limited resources. Determining when replications are worthwhile requires quantifying their expected utility. We argue that a formalized framework for such evaluations can be useful for both individual decision-making and collective discussions about replication.

Type
Open Peer Commentary
Copyright
Copyright © Cambridge University Press 2018 

In a summary of recent discussions about the role of direct replications in psychological science, Zwaan et al. argue that replications should be more mainstream and discuss six common objections to direct replication studies. We believe that the debate about the importance of replication research is essentially driven by disagreements about the value of replication studies and the best way to allocate limited resources. We suggest that a decision theory framework (Wald Reference Wald1950) can provide a tool for researchers to (a) evaluate costs and benefits to determine when replication studies are worthwhile, and (b) specify their assumptions in quantifiable terms, facilitating more productive discussions in which the sources of disagreement about the value of replications can be identified.

The main goal of decision theory is to quantify the expected utility (the result of a cost-benefit analysis, incorporating uncertainty about the state of the world) of possible actions to make an optimal decision. To determine when a replication study is valuable enough to perform, we must compare the expected utility of a replication study against alternative options (e.g., performing a conceptual replication or pursuing novel lines of research). In this commentary, we explore some of the costs and benefits of direct replications and emphasize how different assumptions can lead to different expected-utility judgments.

Costs and benefits of direct replications

The expected utility of replication studies depends on several factors, such as judgments about the reliability of the literature, the perceived public interest in a finding, or the judged importance of a theory. Importantly, these assessments are subjective and can lead to disagreements among researchers. Consider the concerns addressed by Zwaan et al.: Should we continue to examine highly context-dependent effects or limit ourselves to effects that are robust across contexts? Should we spend more resources on direct or conceptual replications? Are direct replications prohibitively costly in large-scale observational studies? The answer is: It depends.

Highly context-dependent effects might, as Zwaan et al. note, make it “difficult, if not impossible, for new knowledge to build on the solid ground of previous work” (sect. 5.1.1, para. 8, concern I). However, to argue against pursuing these research lines, one must make the case that such costs outweigh the expected benefits. In some research areas, such as personalized medicine, highly context-dependent effects may be deemed worthwhile to pursue. If researchers believe some (perhaps even all) effects are highly context dependent, they should be able to argue why these effects are important enough to study, even when progress is expected to be slow and costly.

Some researchers argue that even a single replication can be prohibitively costly (sect. 5.3, concern III). For example, Goldin-Meadow stated that “it's just too costly or unwieldy to generate hypotheses on one sample and test them on another when, for example, we're conducting a large field study or testing hard-to-find participants” (Reference Goldin-Meadow2016). Some studies may be deemed valuable enough to justify even quite substantial investments in a replication, which can often be incorporated into the design of a research project. For instance, because it is unlikely that anyone will build a Large Hadron Collider to replicate the studies at the European Organization for Nuclear Research (CERN), there are two detectors (ATLAS and CMS) so that independent teams can replicate each other's work. Thus, high cost is not by itself a conclusive argument against replication. Instead, one must make the case that the benefits do not justify the costs.

The expected utility of a direct replication (compared with a conceptual replication) depends on the probability that a specific theory or effect is true. If you believe that many published findings are false, then directly replicating prior work may be a cost-efficient way to prevent researchers from building on unreliable findings. If you believe that psychological theories usually make accurate predictions, then conceptual extensions may lead to more efficient knowledge gains than direct replications (sect. 5.2, concern II). An evaluation of costs might even reveal that neither direct nor conceptual replications are optimal, but that scientists should instead focus their resources on cheaper methods to increase the reliability of science (sect. 5.4, concern IV).

The value of replication studies is also influenced by the anticipated interpretation of their outcomes (sect. 5.6, concern VI). If we cannot reach agreement about how to evaluate a given result, its benefit to the field may be close to zero. The outcome of a replication study should increase or decrease our belief in an effect, or raise new questions about auxiliary assumptions that can be resolved in future studies. Replications may thus have higher subjective value when consensus about the interpretation of outcomes can be determined a priori (e.g., via pre-registered adversarial collaboration).

Replication attempts may also have social costs and benefits for researchers who perform replication studies, or whose work is replicated. One strength of decision theory is that it allows us to incorporate such social components in cost-benefit analyses. For example, researchers currently seem to disagree about when, and how much, reputations should suffer when findings do not replicate (sect. 5.5, concern V). If the reputational costs of unsuccessful replications are too high, scholars may be overly reluctant to publish novel or exploratory findings. If the reputational costs are nonexistent, scholars may not exert ideal levels of rigor in their work. The social norms influencing these costs and benefits are shaped by the scientific community. Explicitly discussing those norms can help us change them in ways that incentivize direct replications when they, ignoring the social consequences, would have high utility.

Conclusion

It is unlikely that directly replicating every study, or never directly replicating any study, is optimally efficient. A better balance would be achieved if researchers performed direct replications when the expected utility exceeded that of alternative options. Decision theory provides a useful framework to discuss the expected utility of direct replications based on a quantification of costs and benefits. A more principled approach to deciding when to perform direct replications has the potential to both help researchers optimize their behavior and facilitate a more productive discussion among researchers with different evaluations of the utility of replication studies.

References

Goldin-Meadow, S. (2016) Preregistration, replication, and nonexperimental studies. Association for Psychological Science Observer 29(8):2.Google Scholar
Wald, A. (1950) Statistical decision functions. Wiley.Google Scholar