Feeling Good about Giving: The Benefits (and Costs) of Self-Interested Charitable Behavior

In knowledge-intensive settings such as product or software development, fluid teams of individuals with different sets of experience are tasked with projects that are critical to the success of their organizations. Although building teams from individuals with diverse prior experience is increasingly necessary, prior work examining the relationship between experience and performance fails to find a consistent effect of diversity in experience on performance. The problem is that diversity in experience improves a team's information processing capacity and knowledge base, but also creates coordination challenges. We hypothesize that team familiarity - team members' prior experience working with one another - is one mechanism that helps teams leverage the benefits of diversity in team member experience by alleviating coordination problems that diversity creates. We use detailed project- and individual-level data from an Indian software services firm to examine the effects of team familiarity and diversity in experience on performance for software development projects. We find the interaction of team familiarity and diversity in experience has a complementary effect on a project being delivered on time and on budget. In team familiarity, we identify one mechanism for capturing the performance benefits of diversity in experience and provide insight into how the management of experience accumulation affects team performance.Diversity, Experience, Knowledge, Software, Team Familiarity

"Last-place Aversion": Evidence and Redistributive Implications

Why do low-income individuals often oppose redistribution? We hypothesize that an aversion to being in "last place" undercuts support for redistribution, with low-income individuals punishing those slightly below themselves to keep someone "beneath" them. In laboratory experiments, we find support for "last-place aversion" in the contexts of risk aversion and redistributive preferences. Participants choose gambles with the potential to move them out of last place that they reject when randomly placed in other parts of the distribution. Similarly, in money- transfer games, those randomly placed in second-to-last place are the least likely to costlessly give money to the player one rank below. Last-place aversion predicts that those earning just above the minimum wage will be most likely to oppose minimum-wage increases as they would no longer have a lower-wage group beneath them, a prediction we confirm using survey data.

Development and validation of the Patient‐Physician Relationship Scale among patients with irritable bowel syndrome

BackgroundAn effective patient‐physician relationship (PPR) is essential to the care of patients with irritable bowel syndrome (IBS). We sought to develop and validate an IBS‐specific instrument to measure expectations of the PPR.MethodsWe conducted structured focus groups about PPRs with 12 patients with IBS. Qualitative analysis was used to generate a questionnaire (the Patient‐Physician Relationship Scale [PPRS]), which was modified with input from content experts and usability testing. For validation, we administered it online to US adults with IBS. Participants also completed the Functional Bowel Disorder Severity Index, the Rome III Adult Functional gastrointestinal (GI) Disorder Criteria Questionnaire, and modified versions of the Communication Assessment Tool (CAT‐15) and Patient‐Doctor Relationship Questionnaire (PDRQ‐9). We performed principal components factor analysis for the PPRS.Key ResultsThe PPRS contained 32 questions with responses on a 7‐item Likert scale. Themes included interpersonal features, clinical care expectations, and aspects of communication. One thousand and fifty‐four eligible individuals completed the survey (88% completion rate). Most participants were middle aged (mean 48 years, SD 16.3), white (90%), and female (86%). Factor analysis showed only one relevant factor, relating to quality of PPR. The final scale ranged from possible‐96 to +96 (mean 62.0, SD 37.6). It correlated moderately with the CAT‐15 (r=.40, P<.001) and PDRQ‐9 (r=.30, P<.001), establishing concurrent validity.Conclusions & InferencesWe describe the development and validation of the first questionnaire for use in measuring patient expectations of the PPR, which can be used for future outcomes studies and training physicians.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/138227/1/nmo13106.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/138227/2/nmo13106_am.pd

Techniques for assessing the performance of a landscape-based sediment source and transport model: sensitivity trials and physical methods

Widespread degradation of aquatic habitat and water quality has occurred since European settlement of Australia. Repairing this degradation is expensive and hence on-ground management needs to be carefully focussed. The Sediment River Network model, SedNet, used for the estimation of the sources and transport of sediment spatially and at catchment scales, potentially provides a useful tool to assist land managers in focusing this work. The complete model, whilst broadly applied has not been systematically tested to assess its accuracy or sensitivity to its various model components. The aim of this paper is to propose a framework for such testing. Results from the work will be used to prioritise data acquisition, and improve the structure and parameterisation of the model where necessary. The research is also particularly relevant for shifting application of the model from continental to catchment scales. The testing will comprise two components - sensitivity assessment and accuracy assessment. This paper provides a brief introduction to the SedNet model and a framework for assessing the model. Examples of sensitivity assessment and accuracy assessment are provided and discussed

The asymmetric experience of positive and negative economic growth: global evidence using subjective well-being data

Are individuals more sensitive to losses than gains in macroeconomic growth? Using subjective well-being measures across three large data sets, we observe an asymmetry in the way positive and negative economic growth are experienced, with losses having more than twice as much impact on individual happiness as compared to equivalent gains. We use Gallup World Poll data drawn from 151 countries, BRFSS data taken from a representative sample of 2.5 million US respondents, and Eurobarometer data that cover multiple business cycles over four decades. This research provides a new perspective on the welfare cost of business cycles with implications for growth policy and our understanding of the long-run relationship between GDP and subjective well-being

Force-detected nuclear magnetic resonance: Recent advances and future challenges

We review recent efforts to detect small numbers of nuclear spins using magnetic resonance force microscopy. Magnetic resonance force microscopy (MRFM) is a scanning probe technique that relies on the mechanical measurement of the weak magnetic force between a microscopic magnet and the magnetic moments in a sample. Spurred by the recent progress in fabricating ultrasensitive force detectors, MRFM has rapidly improved its capability over the last decade. Today it boasts a spin sensitivity that surpasses conventional, inductive nuclear magnetic resonance detectors by about eight orders of magnitude. In this review we touch on the origins of this technique and focus on its recent application to nanoscale nuclear spin ensembles, in particular on the imaging of nanoscale objects with a three-dimensional (3D) spatial resolution better than 10 nm. We consider the experimental advances driving this work and highlight the underlying physical principles and limitations of the method. Finally, we discuss the challenges that must be met in order to advance the technique towards single nuclear spin sensitivity -- and perhaps -- to 3D microscopy of molecules with atomic resolution.Comment: 15 pages & 11 figure