Can Money Change Who We Are? Estimating the Effects of Unearned Income on Measures of Incentive-Enhancing Personality Traits

The importance of noncognitive childhood skills in predicting higher wages is well documented in economics. This paper studies the reverse. Using surveys of lottery winners, we analyze the effects of unearned income on the Big Five personality traits. After correcting for potential endogeneity problems from prize sizes, we find that unearned income improves traits that predict pro-social and cooperative behaviors, preferences for social contact, empathy, and gregariousness, and reduces individuals' tendency toward negative emotional states: known in economics literature as incentive-enhancing personality traits. Our results support the possibility of scope for later interventions to improve the personality traits of adults.noncognitive skills, personality traits, lottery winners, instrumental variables, unearned income

Photoionisation and Heating of a Supernova Driven, Turbulent, Interstellar Medium

The Diffuse Ionised Gas (DIG) in galaxies traces photoionisation feedback from massive stars. Through three dimensional photoionisation simulations, we study the propagation of ionising photons, photoionisation heating and the resulting distribution of ionised and neutral gas within snapshots of magnetohydrodynamic simulations of a supernova driven turbulent interstellar medium. We also investigate the impact of non-photoionisation heating on observed optical emission line ratios. Inclusion of a heating term which scales less steeply with electron density than photoionisation is required to produce diagnostic emission line ratios similar to those observed with the Wisconsin H{\alpha} Mapper. Once such heating terms have been included, we are also able to produce temperatures similar to those inferred from observations of the DIG, with temperatures increasing to above 15000 K at heights |z| > 1 kpc. We find that ionising photons travel through low density regions close to the midplane of the simulations, while travelling through diffuse low density regions at large heights. The majority of photons travel small distances (< 100pc); however some travel kiloparsecs and ionise the DIG.Comment: 10 pages, 13 figures, accepted to MNRA

Conceptualizing gratitude and appreciation as a unitary personality trait

Gratitude and appreciation are currently measured using three self-report instruments, the GQ6 (1 scale), the Appreciation Scale (8 scales), and the GRAT (3 scales). Two studies were conducted to test how these three instruments are interrelated, whether they exist under the same higher order factor or factors, and whether gratitude and appreciation is a single or multi-factorial construct. In Study 1 (N = 206) all 12 scales were subjected to an exploratory factor analysis. Both parallel analysis and the minimum average partial method indicated a clear one-factor solution. In Study 2 (N = 389) multigroup confirmatory factor analysis supported the one-factor structure, demonstrated the invariance of this structure across gender, and ruled out the confounding effect of socially desirable responding. We conclude gratitude and appreciation are a single-factor personality trait. We suggest integration of gratitude and appreciation literatures and provide a clearer conceptualization of gratitude

A rank based social norms model of how people judge their levels of drunkenness whilst intoxicated

Background: A rank based social norms model predicts that drinkers’ judgements about their drinking will be based on the rank of their breath alcohol level amongst that of others in the immediate environment, rather than their actual breath alcohol level, with lower relative rank associated with greater feelings of safety. This study tested this hypothesis and examined how people judge their levels of drunkenness and the health consequences of their drinking whilst they are intoxicated in social drinking environments. Methods: Breath alcohol testing of 1,862 people (mean age = 26.96 years; 61.86 % male) in drinking environments. A subset (N = 400) also answered four questions asking about their perceptions of their drunkenness and the health consequences of their drinking (plus background measures). Results: Perceptions of drunkenness and the health consequences of drinking were regressed on: (a) breath alcohol level, (b) the rank of the breath alcohol level amongst that of others in the same environment, and (c) covariates. Only rank of breath alcohol level predicted perceptions: How drunk they felt (b 3.78, 95 % CI 1.69 5.87), how extreme they regarded their drinking that night (b 3.7, 95 % CI 1.3 6.20), how at risk their long-term health was due to their current level of drinking (b 4.1, 95 % CI 0.2 8.0) and how likely they felt they would experience liver cirrhosis (b 4.8. 95 % CI 0.7 8.8). People were more influenced by more sober others than by more drunk others. Conclusion: Whilst intoxicated and in drinking environments, people base judgements regarding their drinking on how their level of intoxication ranks relative to that of others of the same gender around them, not on their actual levels of intoxication. Thus, when in the company of others who are intoxicated, drinkers were found to be more likely to underestimate their own level of drinking, drunkenness and associated risks. The implications of these results, for example that increasing the numbers of sober people in night time environments could improve subjective assessments of drunkenness, are discussed

Editorial: Exploring the Technological Needs of Older Adults: Advances in Design, Functionality, User Experience, and Age-Related Cognitive and Sensory Aids to Facilitate Adoption

The rapid advancements in artificial intelligence, robotics, communication, and automation have been the catalyst for the development of a host of new technologies that allow older users to monitor their own health (via wearables), maintain their independence (semi-autonomous driving), social connections (smart home devices), and compensate for a range of age-related sensory changes (hearing aids, smart glasses, augmented displays, etc.). Less well understood is how older users get acquainted with these innovations, how their design and functionality need to be adapted to improve older users’ performance and experience, and which factors and interventions help or hinder technology adoption and use by older users. This Research Topic aims at providing some further insights into these issues

Partisanship, priming and participation in public-good schemes

This study tests whether psychological attachment to a political party influences voluntary participation in a government-promoted public-good scheme, positing that cooperation is higher among households that identify with the party in government and lower among households that identify with the party in opposition. The focus is participation in a voluntary recycling scheme, in the context of a European country (Malta) where two parties dominate the political landscape. A nationally-representative survey (n = 1037), yielded information on recycling participation rates and on environmental and political preferences. The survey was conducted shortly after a change in government and also gauged intent to participate in a new scheme with a split-sample manipulation in which the treatment group received a political prime. The results indicate that the initial uptake of the scheme launched by a Nationalist government was significantly lower among respondents close to the Labour Party. Five years later this effect had decayed. But intent to participate in the hypothetical scheme was lower among respondents close to the party in opposition (this time, the Nationalist Party), if primed with a cue that associates the new scheme with the Labour party. Formal modeling of scheme participation and intent (controlling for political and environmental ideology inter alia), yielded consistent results. These findings shed light on a new dimension which may be responsible for diverse rates of uptake of a public good schemes with practical implications for scheme promotion

Editorial: Exploring the technological needs of older adults: Advances in design, functionality, user experience, and age-related cognitive and sensory aids to facilitate adoption

Editorial on the Research Topic Exploring the technological needs of older adults: Advances in design, functionality, user experience, and age-related cognitive and sensory aids to facilitate adoptio

The Center for Epidemiologic Studies-Depression (CES-D) scale measures a continuum from well-being to depression: Testing two key predictions of positive clinical psychology

Background: Two core but untested predictions of Positive Clinical Psychology (PCP) are that (1) Many psychiatric problems can be understood as one end of bipolar continua with well-being, and (2) that reducing psychiatric symptoms will provide an equal (near linear) decrease in risk for several other psychiatric variables, irrespective of position on continua.&nbsp; Aims: We test these predictions in relation to a purported well-being/depression continuum, as measured by the Center for Epidemiologic Studies-Depression (CES-D), a popular measure of depressive experiences in research and clinical practice.&nbsp; Method: A large (N = 4,138), diverse sample completed the CES-D, which contains a mixture of negatively worded and positively worded items (e.g., &ldquo;I felt sad,&rdquo; &ldquo;I enjoyed life&rdquo;). The latter are conventionally reverse scored to compute a total score. We first examined whether purportedly separate well-being and depression CES-D factors can be reconceptualised as a bipolar well-being/depression continuum. We then characterised the (linear or nonlinear) form of the relationship between this continuum and other psychiatric variables.&nbsp; Results: Both predictions were supported. When controlling for shared method bias amongst positively worded items, a single factor well-being/depression continuum underlies the CES-D. Baseline levels on this continuum are found to have near linear relationships with changes in anxiety symptoms, aggression, and substance misuse over time, demonstrating that moving from depression to well-being on the CES-D provides an equal decrease in risk for several other psychological problems irrespective of position on the continuum.&nbsp; Limitations: The CES-D does not measure well-being as comprehensively as established scales of well-being.&nbsp; Conclusions: Results support calls for mental health services to jointly focus on increasing well-being and reducing distress, and point to the value of early intervention and instilling resilience in order to prevent people moving away from high levels of well-being

Search for Gamma-ray Emission from Dark Matter Annihilation in the Small Magellanic Cloud with the Fermi Large Area Telescope

The Small Magellanic Cloud (SMC) is the second-largest satellite galaxy of the Milky Way and is only 60 kpc away. As a nearby, massive, and dense object with relatively low astrophysical backgrounds, it is a natural target for dark matter indirect detection searches. In this work, we use six years of Pass 8 data from the Fermi Large Area Telescope to search for gamma-ray signals of dark matter annihilation in the SMC. Using data-driven fits to the gamma-ray backgrounds, and a combination of N-body simulations and direct measurements of rotation curves to estimate the SMC DM density profile, we found that the SMC was well described by standard astrophysical sources, and no signal from dark matter annihilation was detected. We set conservative upper limits on the dark matter annihilation cross section. These constraints are in agreement with stronger constraints set by searches in the Large Magellanic Cloud and approach the canonical thermal relic cross section at dark matter masses lower than 10 GeV in the $b\bar{b}$ and $\tau^+\tau^-$ channels.Comment: 17 pages, 11 figures. Accepted by PR