Turnover Processes in a Temporal Context: It's About Time

To better understand the process of organizational withdrawal, a turnover model incorporating dynamic predictors measured at five distinct points in time was examined by following a large, occupationally diverse sample over a two-year period. Results demonstrated that turnover can be predicted by perceived costs of turnover, organizational commitment, and critical events measured soon after entry into the organization, and unemployment rates, job satisfaction, and search for alternative jobs also become significant predictors when measured over time. Critical events also predicted turnover in a manner distinct from the operation of attitudes, consistent with the unfolding model (Lee & Mitchell, 1994). The path to turnover was marked by consistently low perceived costs of turnover and satisfaction, decreases in commitment, and increases in job search over time.

Parental health and children’s cognitive and non-cognitive development: New evidence from the Longitudinal Survey of Australian Children

This paper examines the effects of parental health on cognitive and non-cognitive development in Australian children. The underlying nationally representative panel data and a child fixed effects estimator are used to deal with unobserved heterogeneity. We find that only father’s serious mental illness worsens selected cognitive and non-cognitive skills of children. Maternal poor health also deteriorates some cognitive and non-cognitive outcomes of children of lone mothers only. Our results demonstrate that either failing to account for parent-child fixed effects or using child non-cognitive skills reported by parents could over-estimate the harmful impact of poor parental health on child development

Understanding issues of people living with disabilities in South Africa

The problem of disabilities is growing all over the world. Nevertheless, some progress has been made since the year 1981 was proclaimed International Year of Disabled Persons. In 2001 people living with disabilities accounted for 5% of the South African population. Because of their disabilities or the perception society has regarding their potential, this population is mostly economically inactive. This study assesses the relationship between disabilities and the adverse socio-economic impacts. Both descriptive and logistics regression models are used to understand the problem by exploring the data of the 2006 South African General Household Survey. The overall people living with disabilities and aged 15–49 years is estimated at 1742 (961 males and 780 females), when exploring people with disabilities findings reveal that the Western Cape Province’s disabled are mostly affected by physical disabilities (40%). People living with disabilities are 3.5 times (p < 0.01) more likely to suffer from illness/injuries (flu, tuberculosis (TB) and severe cough, diarrhea, blood pressure and HIV/AIDS) than others. Therefore, the study aims to contribute to a better condition of people living with disabilities in South Africa by informing and possibly changing the public perception about them.International Bibliography of Social Science

The remittances of migrant Tongan and Samoan nurses from Australia

BACKGROUND: Migration and remittances are of considerable importance in the small Pacific island states. There has been a significant migration of skilled health workers in recent decades to metropolitan fringe states, including Australia and New Zealand. This paper reports the findings of a re-analysis of survey of Samoan and Tongan migrants in Australia where the sample is split between nurse households and others. METHODS: The study analyzes the survey data with a view to comparing the remittance behaviour and determinants of remittances for nurses and other migrant households, using both descriptive, cross-tabulations and appropriate econometric methods. RESULTS: It is found that a significantly higher proportion of nurse households sent remittances home, and, on average remitted more. Remittances of nurse households did not decline significantly over time contrary to what has generally been predicted. This was in contrast to other migrant households in the sample, for whom remittances showed a sharp decline after 15 years absence. Remittances contribute much more to the income of migrant sending countries, than the cost of the additional human capital in nurse training. CONCLUSIONS: Given the shortage of nurses in Australia and New Zealand, and therefore the high demand for immigrant nurses, investment by Pacific island governments and families in nurse training constitutes a rational use of economic resources. Policies encouraging investment in home countries may be more effective than policies directly discouraging brain drain in contributing to national development

The MBA as Careerist: An Analysis of Early-Career Job Change

This study examined the job changes of 680 early-career business school graduates. Although a number of anecdotal articles characterize MBAs as overly “careerist” and oriented toward job-hopping, little empirical research has focused on this issue. The research included a direct comparison of job-hopping behavior of MBAs with bachelor S degree graduates, taking into account a number of control variables, including demographic and economic variables. Results indicated that MBAs changed jobs less frequently than bachelor 5 degree graduates, even when a variety of other factors were controlled.Yeshttps://us.sagepub.com/en-us/nam/manuscript-submission-guideline

Measurement of the integrated luminosity of the Phase 2 data of the Belle II experiment

© 2019 Chinese Physical Society and the Institute of High Energy Physics of the Chinese Academy of Sciences and the Institute of Modern Physics of the Chinese Academy of Sciences and IOP Publishing Ltd. From April to July 2018, a data sample at the peak energy of the γ(4S) resonance was collected with the Belle II detector at the SuperKEKB electron-positron collider. This is the first data sample of the Belle II experiment. Using Bhabha and digamma events, we measure the integrated luminosity of the data sample to be (496.3 ± 0.3 ± 3.0) pb-1, where the first uncertainty is statistical and the second is systematic. This work provides a basis for future luminosity measurements at Belle II

EUDAQ - A data acquisition software framework for common beam telescopes

EUDAQ is a generic data acquisition software developed for use in conjunction with common beam telescopes at charged particle beam lines. Providing high-precision reference tracks for performance studies of new sensors, beam telescopes are essential for the research and development towards future detectors for high-energy physics. As beam time is a highly limited resource, EUDAQ has been designed with reliability and ease-of-use in mind. It enables flexible integration of different independent devices under test via their specific data acquisition systems into a top-level framework. EUDAQ controls all components globally, handles the data flow centrally and synchronises and records the data streams. Over the past decade, EUDAQ has been deployed as part of a wide range of successful test beam campaigns and detector development applications

Assessing access barriers to tuberculosis care with the tool to Estimate Patients' Costs: pilot results from two districts in Kenya

<p>Abstract</p> <p>Background</p> <p>The poor face geographical, socio-cultural and health system barriers in accessing tuberculosis care. These may cause delays to timely diagnosis and treatment resulting in more advanced disease and continued transmission of TB. By addressing barriers and reasons for delay, costs incurred by TB patients can be effectively reduced. A Tool to Estimate Patients' Costs has been developed. It can assist TB control programs in assessing such barriers. This study presents the Tool and results of its pilot in Kenya.</p> <p>Methods</p> <p>The Tool was adapted to the local setting, translated into Kiswahili and pretested. Nine public health facilities in two districts in Eastern Province were purposively sampled. Responses gathered from TB patients above 15 years of age with at least one month of treatment completed and signed informed consent were double entered and analyzed. Follow-up interviews with key informants on district and national level were conducted to assess the impact of the pilot and to explore potential interventions.</p> <p>Results</p> <p>A total of 208 patients were interviewed in September 2008. TB patients in both districts have a substantial burden of direct (out of pocket; USD 55.8) and indirect (opportunity; USD 294.2) costs due to TB. Inability to work is a major cause of increased poverty. Results confirm a 'medical poverty trap' situation in the two districts: expenditures increased while incomes decreased. Subsequently, TB treatment services were decentralized to fifteen more facilities and other health programs were approached for nutritional support of TB patients and sputum sample transport. On the national level, a TB and poverty sub-committee was convened to develop a comprehensive pro-poor approach.</p> <p>Conclusions</p> <p>The Tool to Estimate Patients' Costs proved to be a valuable instrument to assess the costs incurred by TB patients, socioeconomic situations, health-seeking behavior patterns, concurrent illnesses such as HIV, and social and gender-related impacts. The Tool helps to identify and tackle bottlenecks in access to TB care, especially for the poor. Reducing delays in diagnosis, decentralization of services, fully integrated TB/HIV care and expansion of health insurance coverage would alleviate patients' economic constraints due to TB.</p

Selecting Forecasting Methods

I examined six ways of selecting forecasting methods: Convenience, “what’s easy,” is inexpensive, but risky. Market popularity, “what others do,” sounds appealing but is unlikely to be of value because popularity and success may not be related and because it overlooks some methods. Structured judgment, “what experts advise,” which is to rate methods against prespecified criteria, is promising. Statistical criteria, “what should work,” are widely used and valuable, but risky if applied narrowly. Relative track records, “what has worked in this situation,” are expensive because they depend on conducting evaluation studies. Guidelines from prior research, “what works in this type of situation,” relies on published research and offers a low-cost, effective approach to selection. Using a systematic review of prior research, I developed a flow chart to guide forecasters in selecting among ten forecasting methods. Some key findings: Given enough data, quantitative methods are more accurate than judgmental methods. When large changes are expected, causal methods are more accurate than naive methods. Simple methods are preferable to complex methods; they are easier to understand, less expensive, and seldom less accurate. To select a judgmental method, determine whether there are large changes, frequent forecasts, conflicts among decision makers, and policy considerations. To select a quantitative method, consider the level of knowledge about relationships, the amount of change involved, the type of data, the need for policy analysis, and the extent of domain knowledge. When selection is difficult, combine forecasts from different methods