|ISSN||1939-1315 (Online) 0022-3514 (Print)|
Precise first offers strongly anchor negotiation outcomes. This precision advantage has been previously documented only when the parties were already engaged in a negotiation. We introduce the concept of negotiation entry, i.e., the decision to enter a negotiation with a particular party. We predict that precise prices create barriers-to-entry, reducing a counterpart’s likelihood of entering a negotiation. Six studies (N=1,580) and one archival analysis of real estate sector data (N=11,214) support our barrier-to-entry prediction: Potential negotiators were less likely to enter a negotiation with precise versus round first offers. Using both statistical mediation and experimental-causal-chain analyses, we establish that perceptions of offer maker inflexibility underlie the precision barrier. Furthermore, we demonstrate that this inflexibility mechanism of precision is distinct from the mechanism (being offended) that creates barriers-to-entry for extreme first offers. The discussion theoretically integrates research on first-offer precision and extremity by offering the Precision-Extremity Model of First Offers.
With permission of Elsevier
Researchers agree that replicability and reproducibility are key aspects of science. A collection of Data Descriptors published in Scientific Data presents data obtained in the process of attempting to replicate previously published research. These new replication data describe published and unpublished projects. The different papers in this collection highlight the many ways that scientific replications can be conducted, and they reveal the benefits and challenges of crucial replication research. The organizers of this collection encourage scientists to reuse the data contained in the collection for their own work, and also believe that these replication examples can serve as educational resources for students, early-career researchers, and experienced scientists alike who are interested in learning more about the process of replication.
This work is licensed under a Creative Commons Attribution 4.0 International License CC-BY.
Data from a pre-publication independent replication initiative examining ten moral judgement effects
We present the data from a crowdsourced project seeking to replicate findings in independent laboratories before (rather than after) they are published. In this Pre-Publication Independent Replication (PPIR) initiative, 25 research groups attempted to replicate 10 moral judgment effects from a single laboratory’s research pipeline of unpublished findings. The 10 effects were investigated using online/lab surveys containing psychological manipulations (vignettes) followed by questionnaires. Results revealed a mix of reliable, unreliable, and culturally moderated findings. Unlike any previous replication project, this dataset includes the data from not only the replications but also from the original studies, creating a unique corpus that researchers can use to better understand reproducibility and irreproducibility in science.
The pipeline project: Pre-publication independent replications of a single laboratory's research pipeline
This crowdsourced project introduces a collaborative approach to improving the reproducibility of scientific research, in which findings are replicated in qualified independent laboratories before (rather than after) they are published. Our goal is to establish a non-adversarial replication process with highly informative final results. To illustrate the Pre-Publication Independent Replication (PPIR) approach, 25 research groups conducted replications of all ten moral judgment effects which the last author and his collaborators had “in the pipeline” as of August 2014. Six findings replicated according to all replication criteria, one finding replicated but with a significantly smaller effect size than the original, one finding replicated consistently in the original culture but not outside of it, and two findings failed to find support. In total, 40% of the original findings failed at least one major replication criterion. Potential ways to implement and incentivize pre-publication independent replication on a large scale are discussed.
With permission of Elsevier