The effect of format and device on the performance and usability of web-based questionnaires

This article explores the comparability of assessment tools under different format conditions. Prior studies have not considered the interaction of format and device on time to complete an assessment and have instead treated each of them separately with conflicting results. This study assesses, by linear regressions using web-based data, the performance of multiple devices under varying formats while controlling for non-device factors such as demographic information. The results of this study add to the growing literature on the equivalence among devices and formats used to collect and interpret performance in a variety of organizational settings.     

A Literature Review and Development of a Theoretical Model for Understanding Commitment Experienced by Volunteers Over the Life of a Project

Employee commitment to an organisation is accepted as an important concept in organisation psychology. Yet commitment to a project on which an employee might be working is largely unknown. Additional complications arise when the project makes use of volunteers who donate their time for reasons other than pecuniary reward. The relationships between volunteers, organisations and projects represent a gap in the field of organisational commitment knowledge. This paper identifies from literature the values that inform and influence volunteer commitment levels. Known antecedents of commitment are developed to present a model which encapsulates the variables that should be recognised as influencing volunteer commitment levels within a project context. The paper proposes a conceptual model of volunteer commitment to a project using three categories of commitment: emotional, purposeful and contextual, and concludes that the next phase of the study will test this model and develop a tool that will enable the measurement of volunteer commitment in a project context.     

Managing physical and mental health conditions: Consumer perspectives on integrated care

Despite the growing trend of integrating primary care and mental health services, little research has documented how consumers with severe mental illnesses (SMI) manage comorbid conditions or view integrated services. We sought to better understand how consumers perceive and manage both mental and physical health conditions and their views of integrated services. We conducted semi-structured interviews with consumers receiving primary care services integrated in a community mental health setting. Consumers described a range of strategies to deal with physical health conditions and generally viewed mental and physical health conditions as impacting one another. Consumers viewed integration of primary care and mental health services favorably, specifically its convenience, friendliness, and knowledge of providers, and collaboration between providers. Although integration was viewed positively, consumers with SMI may need a myriad of strategies and supports to both initiate and sustain lifestyle changes that address common physical health problems.     

Neighborhood Diversity, Metropolitan Constraints, and Household Migration

Focusing on micro-level processes of residential segregation, this analysis combines data from the Panel Study of Income Dynamics with contextual information from three censuses and several other sources to examine patterns of residential mobility between neighborhoods populated by different combinations of racial and ethnic groups. We find that despite the emergence of multiethnic neighborhoods, stratified mobility dynamics continue to dominate, with relatively few black or white households moving into neighborhoods that could be considered multiethnic. However, we also find that the tendency for white and black households to move between neighborhoods dominated by their own group varies significantly across metropolitan areas. Black and white households' mobility into more integrated neighborhoods is shaped substantially by demographic, economic, political, and spatial features of the broader metropolitan area. Metropolitan-area racial composition, the stock of new housing, residential separation of black and white households, poverty rates, and functional specialization emerge as particularly important predictors. These macro-level effects reflect opportunities for intergroup residential contact as well as structural forces that maintain residential segregation.     

NEIGHBORHOOD POVERTY AND NONMARITAL FERTILITY: SPATIAL AND TEMPORAL DIMENSIONS

Data from 4,855 respondents to the Panel Study of Income Dynamics were used to examine spatial and temporal dimensions of the effect of neighborhood poverty on teenage premarital childbearing. Although high poverty in the immediate neighborhood increased the risk of becoming an unmarried parent, high poverty in surrounding neighborhoods reduced this risk. The effect of local neighborhood poverty was especially pronounced when surrounding neighborhoods were economically advantaged. Measuring exposure to neighborhood poverty over the childhood life course yielded stronger effects than measuring exposure at a single age. Neither racial differences in the level of poverty in proximate neighborhoods nor racial differences in neighborhood poverty over the childhood life course explained the racial difference in nonmarital fertility.     

Counterterrorism resource allocation during a pandemic: The effects of dynamic target valuations when facing a strategic terrorist

The outbreak of pandemics such as COVID-19 can result in cascading effects for global systemic risk. To combat an ongoing pandemic, governmental resources are largely allocated toward supporting the health of the public and economy. This shift in attention can lead to security vulnerabilities which are exploited by terrorists. In view of this, counterterrorism during a pandemic is of critical interest to the safety and well-being of the global society. Most notably, the population flows among potential targets are likely to change in conjunction with the trend of the health crisis, which leads to fluctuations in target valuations. In this situation, a new challenge for the defender is to optimally allocate his/her resources among targets that have changing valuations, where his/her intention is to minimize the expected losses from potential terrorist attacks. In order to deal with this challenge, in this paper, we first develop a defender–attacker game in sequential form, where the target valuations can change as a result of the pandemic. Then we analyze the effects of a pandemic on counterterrorism resource allocation from the perspective of dynamic target valuations. Finally, we provide some examples to display the theoretical results, and present a case study to illustrate the usability of our proposed model during a pandemic.