852 research outputs found

    The critical role of second-order normative beliefs in predicting energy conservation

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    This is the author accepted manuscript. The final version is available from Springer Nature via the DOI in this recordSustaining large-scale public goods requires individuals to make environmentally friendly decisions today to benefit future generations. Recent research suggests that second-order normative beliefs are more powerful predictors of behaviour than first-order personal beliefs. We explored the role that second-order normative beliefs—the belief that community members think that saving energy helps the environment—play in curbing energy use. We first analysed a data set of 211 independent, randomized controlled trials conducted in 27 US states by Opower, a company that uses comparative information about energy consumption to reduce household energy usage (pooled N = 16,198,595). Building off the finding that the energy savings varied between 0.81% and 2.55% across states, we matched this energy use data with a survey that we conducted of over 2,000 individuals in those same states on their first-order personal and second-order normative beliefs. We found that second-order normative beliefs predicted energy savings but first-order personal beliefs did not. A subsequent pre-registered experiment provides causal evidence for the role of second-order normative beliefs in predicting energy conservation above first-order personal beliefs. Our results suggest that second-order normative beliefs play a critical role in promoting energy conservation and have important implications for policymakers concerned with curbing the detrimental consequences of climate change

    On Good Scholarship, Goal Setting, and Scholars Gone Wild

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    In this article, we define good scholarship, highlight our points of disagreement with Locke and Latham (2009), and call for further academic research to examine the full range of goal setting\u27s effects. We reiterate our original claim that goal setting, like a potent medication, can produce both beneficial effects and systematic, negative outcomes (Ordóñez, Schweitzer, Galinsky,& Bazerman, 2009), and as a result, it should be carefully prescribed and closely monitored

    Goals Gone Wild: The Systematic Side Effects of Overprescribing Goal Setting

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    Goal setting is one of the most replicated and influential paradigms in the management literature. Hundreds of studies conducted in numerous countries and contexts have consistently demonstrated that setting specific, challenging goals can powerfully drive behavior and boost performance. Advocates of goal setting have had a substantial impact on research, management education, and management practice. In this article, we argue that the beneficial effects of goal setting have been overstated and that systematic harm caused by goal setting has been largely ignored. We identify specific side effects associated with goal setting, including a narrow focus that neglects nongoal areas, distorted risk preferences, a rise in unethical behavior, inhibited learning, corrosion of organizational culture, and reduced intrinsic motivation. Rather than dispensing goal setting as a benign, over-the-counter treatment for motivation, managers and scholars need to conceptualize goal setting as a prescription-strength medication that requires careful dosing, consideration of harmful side effects, and close supervision. We offer a warning label to accompany the practice of setting goals

    R/Bioconductor software for Illumina's Infinium whole-genome genotyping BeadChips

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    Summary: Illumina produces a number of microarray-based technologies for human genotyping. An Infinium BeadChip is a two-color platform that types between 105 and 106 single nucleotide polymorphisms (SNPs) per sample. Despite being widely used, there is a shortage of open source software to process the raw intensities from this platform into genotype calls. To this end, we have developed the R/Bioconductor package crlmm for analyzing BeadChip data. After careful preprocessing, our software applies the CRLMM algorithm to produce genotype calls, confidence scores and other quality metrics at both the SNP and sample levels. We provide access to the raw summary-level intensity data, allowing users to develop their own methods for genotype calling or copy number analysis if they wish

    The transition to parenthood in obstetrics: Enhancing prenatal care for 2-generation impact

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    Obstetrics, the specialty overseeing infant and parent health before birth, could be expanded to address the interrelated areas of parents\u27 prenatal impact on children\u27s brain development and their own psychosocial needs during a time of immense change and neuroplasticity. Obstetrics is primed for the shift that is happening in pediatrics, which is moving from its traditional focus on physical health to a coordinated, whole-child, 2- or multigeneration approach. Pediatric care now includes developmental screening, parenting education, parent coaching, access to developmental specialists, brain-building caregiving skills, linkages to community resources, and tiered interventions with psychologists. Drawing on decades of developmental origins of health and disease research highlighting the prenatal beginnings of future health and new studies on the transition to parenthood describing adult development from pregnancy to early postpartum, we have proposed that, similar to pediatrics, the integration of education and intervention strategies into the prenatal care ecosystem should be tested for its potential to improve child cognitive and social-emotional development and parental mental health. Pediatric care programs can serve as models of change for the systematic development, testing and, incorporation of new content into prenatal care as universal, first-tier treatment and evidenced-based, triaged interventions according to the level of need. To promote optimal beginnings for the whole family, we have proposed an augmented prenatal care ecosystem that aligns with, and could build on, current major efforts to enhance perinatal care individualization through consideration of medical, social, and structural determinants of health

    The Imbibing Idiot Bias: Consuming Alcohol Can be Hazardous to Your (Perceived) Intelligence

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    Alcohol consumption and cognitive impairment frequently co-occur. We propose that the relationship is so familiar that exposure to alcohol cues primes expectations of cognitive impairment. Across five studies, we find that in the absence of any evidence of reduced cognitive performance, people who hold an alcoholic beverage are perceived to be less intelligent than those who do not, a mistake we term the imbibing idiot bias. In fact, merely priming observers with alcohol cues causes them to judge targets who hold no beverage at all as less intelligent. The bias is not driven by a belief that less intelligent people are more likely to consume alcohol. We find that the bias may be costly in professional settings. Job candidates who ordered wine during an interview held over dinner were viewed as less intelligent and less hireable than candidates who ordered soda. However, prospective candidates believe that ordering wine rather than soda will help them appear more intelligent

    Dissipative Dynamics of Collisionless Nonlinear Alfven Wave Trains

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    The nonlinear dynamics of collisionless Alfven trains, including resonant particle effects is studied using the kinetic nonlinear Schroedinger (KNLS) equation model. Numerical solutions of the KNLS reveal the dynamics of Alfven waves to be sensitive to the sense of polarization as well as the angle of propagation with respect to the ambient magnetic field. The combined effects of both wave nonlinearity and Landau damping result in the evolutionary formation of stationaryOA S- and arc-polarized directional and rotational discontinuities. These waveforms are freqently observed in the interplanetary plasma.Comment: REVTeX, 6 pages (including 5 figures). This and other papers may be found at http://sdphpd.ucsd.edu/~medvedev/papers.htm

    An early years toolbox for assessing early executive function, language, self-Regulation, and social development validity, reliability, and preliminary norms

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    Several methods of assessing executive function (EF), self-regulation, language development, and social development in young children have been developed over previous decades. Yet new technologies make available methods of assessment not previously considered. In resolving conceptual and pragmatic limitations of existing tools, the Early Years Toolbox (EYT) offers substantial advantages for early assessment of language, EF, self-regulation, and social development. In the current study, results of our large-scale administration of this toolbox to 1,764 preschool and early primary school students indicated very good reliability, convergent validity with existing measures, and developmental sensitivity. Results were also suggestive of better capture of children’s emerging abilities relative to comparison measures. Preliminary norms are presented, showing a clear developmental trajectory across half-year age groups. The accessibility of the EYT, as well as its advantages over existing measures, offers considerably enhanced opportunities for objective measurement of young children’s abilities to enable research and educational applications

    Privacy in crowdsourcing:a systematic review

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    The advent of crowdsourcing has brought with it multiple privacy challenges. For example, essential monitoring activities, while necessary and unavoidable, also potentially compromise contributor privacy. We conducted an extensive literature review of the research related to the privacy aspects of crowdsourcing. Our investigation revealed interesting gender differences and also differences in terms of individual perceptions. We conclude by suggesting a number of future research directions.</p
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