Nonstandard Employment in the Nonmetropolitan United States*

Abstract We examine the prevalence of nonstandard employment in the nonmetropolitan United States using the Current Population Survey Supplement on Contingent Work (1999 and 2001). We find that nonstandard work is more prevalent in nonmetropolitan than in central city or suburban areas. Logistic regression models controlling for sociode‐mographic and work characteristics, show that nonmetropolitan workers experience higher odds of nonstandard employment than central city or suburban workers. Variations in industrial and occupational structures in nonmetro and metro areas do not explain residential differences in nonstandard work. We also estimate the odds of employment in each of the three components of nonstandard work: contingent work, part‐time, and varied hour work. Nonmetropolitan workers are more likely than central city and suburban workers to be employed in contingent or varied hour work. The benefits and wages of nonstandard work are lower than for standard work across residence areas. The results highlight the importance of understanding nonstandard work and the components of nonstandard work, particularly when considering the nature of work across industries, occupations, and residence.     

Risk Assessment for Invasive Species

Although estimates vary, there is a broad agreement that invasive species impose major costs on the U.S. economy, as well as posing risks to nonmarket environmental goods and services and to public health. The domestic effort to manage risks associated with invasive species is coordinated by the National Invasive Species Council (NISC), which is charged with developing a science-based process to evaluate risks associated with the introduction and spread of invasive species. Various international agreements have also elevated invasive species issues onto the international policy agenda. The World Trade Organization (WTO) Sanitary and Phytosanitary (SPS) Agreement establishes rights and obligations to adhere to the discipline of scientific risk assessment to ensure that SPS measures are applied only to the extent required to protect human, animal, and plant health, and do not constitute arbitrary or unjustifiable technical barriers to trade. Currently, however, the field of risk assessment for invasive species is in its infancy. Therefore, there is a pressing need to formulate scientifically sound methods and approaches in this emerging field, while acknowledging that the demand for situation-specific empirical evidence is likely to persistently outstrip supply. To begin addressing this need, the Society for Risk Analysis Ecological Risk Assessment Specialty Group and the Ecological Society of America Theoretical Ecology Section convened a joint workshop to provide independent scientific input into the formulation of methods and processes for risk assessment of invasive species to ensure that the analytic processes used domestically and internationally will be firmly rooted in sound scientific principles.     

Managing Change Across Boundaries: Boundary‐Shaking Practices1

To date, boundary spanning has primarily been conceived of as an activity relating an organization to its environment, including other organizations with which it cooperates and competes. In contrast, this study focuses on the boundary spanning practices of individuals acting as change agents to implement boundary‐shaking change initiatives across intra‐organizational boundaries. These boundary‐shaking individuals all work for blue‐chip organizations in sectors as diverse as pharmaceuticals, consultancy and automotive. The change initiatives are equally diverse, including post‐merger integration, exploitation of across‐business synergies and implementing more integrative structures. Through our examination of boundary‐shakers we are able to extend what we know about internal change agency and change agent skills and practices. Our starting point is that organizations are comprised of networks of people with a degree of common interest. Our research shows our research subjects to be active movers and shakers in these networks, using their knowledge of the organizational political context and the motivations of others to create new networks (or new meanings within old networks), which then enables them to pursue their change objectives.     

The Expectation-Threshold model of reproductive decision making

It is proposed that as expectations about parenting become increasingly high, couples have an increasing tendency to decide to have a(or another) child. Similarly, as parenting expectations become increasingly low, couples have an increasing tendency to decide on sterilization. Couples without extremely high or low expectations continue to use contraceptives. Expectations are defined as Subjective Expected Utilities (SEUs) for having or not having a child. Preliminary results support the model and suggest that the threshold for making these decisions is not at neutral, but is conservative so that couples must have fairly high or low expectations before making such binding decisions are parenting or sterilization. The fact that data reveal that this exists supports the Expectancy-Threshold model, but it also requires a change in SEU Theory's maximization rule for some kinds of decisions.The authors wish to thank Carole Baker, former executive Director of the National Alliance for Optional Parenthood, and the board members of that organization for their cooperation, and Dr. Barbara Beach who helped with the data analysis. Funding was provided, in part, by The Center for Studies in Demography and Ecology, University of Washington, through a grant, No. 5 P30 HDO 9397, from the National Institute for Child Health and Human Development     

Irregularities in X(Y) from Y(X) in linear calibration

Let X be an input measurement and Y the output reading of a calibrated instrument, with Y(X) as the calibration curve. Solving X(Y) projects an instrumental reading back onto the scale of measurements as an object of pivotal interest. The arrays of instrumental readings are projected in this manner in practice, yielding arrays of calibrated measurements, typically subject to errors of calibration. The effects of calibration errors on the properties of calibrated measurements are examined here under linear calibration. Irregularities arise as induced dependencies, inflated variances, non-standard distributions, inconsistent sample means, the underestimation of measurement variance, and other unintended consequences. On the other hand, conventional properties are seen to remain largely in place in the use of selected regression diagnostics and in one-way comparative experiments using calibrated data.     

Collecting text messages from college students: Evaluating a novel methodology

Social interaction, particularly in older adolescents, increasingly involves computer‐mediated communication. Although studies of public computer‐mediated communication are increasingly common, studies of private text messaging remain rare. As approaches for obtaining such data evolve with technological advances, developmental scientists need designs in which to use such approaches that reduce sampling biases in both participants and text messages. In this study (n = 854; 46% male; 22% African American, 60% European American), we examined selection biases in the participant sample (i.e., factors associated with actual participation), procedural biases in the participant sample (i.e., factors related to failed data capture due to technological or procedural issues), and selection biases in the sample of text messages (i.e., based on self‐reported reasons for texting). Findings from our study suggest that studying human interaction directly through analysis of text message data is not only feasible, but also may be successfully undertaken with minimal biases regarding sample selection and text message selection among those who are engaged in research and engaged in text messaging outside of the study context. However, biases may occur depending on the type of platform (iPhone vs. Android) used by participants for texting.