Does wage rank affect employees' well-being?

How do workers make wage comparisons? Both an experimental study and an analysis of 16,000 British employees are reported. Satisfaction and well-being levels are shown to depend on more than simple relative pay. They depend upon the ordinal rank of an individual's wage within a comparison group. “Rank” itself thus seems to matter to human beings. Moreover, consistent with psychological theory, quits in a workplace are correlated with pay distribution skewness

On the origin of utility, weighting, and discounting functions: How they get their shapes and how to change their shapes

We present a theoretical account of the origin of the shapes of utility, probability weighting, and temporal discounting functions. In an experimental test of the theory, we systematically change the shape of revealed utility, weighting, and discounting functions by manipulating the distribution of monies, probabilities, and delays in the choices used to elicit them. The data demonstrate that there is no stable mapping between attribute values and their subjective equivalents. Expected and discounted utility theories, and also their descendants such as prospect theory and hyperbolic discounting theory, simply assert stable mappings to describe choice data and offer no account of the instability we find. We explain where the shape of the mapping comes from and, in describing the mechanism by which people choose, explain why the shape depends on the distribution of gains, losses, risks, and delays in the environment

Belowground DNA-based techniques: untangling the network of plant root interactions

Contains fulltext : 91591.pdf (publisher's version ) (Closed access)7 p

Response vs. Perception

Three experiments were conducted in which college students read, and then attempted to match, a series of written descriptive passages with the referent photographs on which they were based; the photographs sho wed the face of an actor, representing a variety of emotional expressions. In Experiment I, subjects provided with a series of context passages depicting a narrow range of emotions (neither pleasant nor unpleasant) chose “matches” having more extreme pleasantness values than did subjects provided with context passages depicting a wide range of descriptions on the pleasantness dimension when responding to test descriptions embedded within the context series. In Experiments II and III, contrast effects were obtained; subjects who had read mostly unpleasant context passages chose more pleasant referents in response to neutral test descriptions than did those who had read mostly pleasant descriptions. The results of all three experiments suggested that these effects were mediated in large part by a response bias, the tendency to use each response alternative with roughly equal frequency. In Experiments II and III, there was suggestive evidence for the possibility that a more central (or perceptual) mechanism may also have contributed to the observed results.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/45367/1/11031_2004_Article_BF00992590.pd

Towards a quantum probability theory of similarity judgments

We review recent progress in understanding similarity judgments in cognition by means of quantum probability theory (QP) models. We begin by outlining some features of similarity judgments that have proven difficult to model by traditional approaches. We then briefly present a model of similarity judgments based on QP, and show how it can solve many of the problems faced by traditional approaches. Finally we look at some areas where the quantum model is currently less satisfactory, and discuss some open questions and areas for further work

Strengthening global-change science by integrating aeDNA with paleoecoinformatics

Ancient environmental DNA (aeDNA) data are close to enabling insights into past global-scale biodiversity dynamics at unprecedented taxonomic extent and resolution. However, achieving this potential requires solutions that bridge bioinformatics and paleoecoinformatics. Essential needs include support for dynamic taxonomic inferences, dynamic age inferences, and precise stratigraphic depth. Moreover, aeDNA data are complex and heterogeneous, generated by dispersed researcher networks, with methods advancing rapidly. Hence, expert community governance and curation are essential to building high-value data resources. Immediate recommendations include uploading metabarcoding-based taxonomic inventories into paleoecoinformatic resources, building linkages among open bioinformatic and paleoecoinformatic data resources, harmonizing aeDNA processing workflows, and expanding community data governance. These advances will enable transformative insights into global-scale biodiversity dynamics during large environmental and anthropogenic changes