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Higher education outcomes, graduate employment and university performance indicators 总被引:1,自引:0,他引:1
Massimiliano Bratti Abigail McKnight Robin Naylor Jeremy Smith 《Journal of the Royal Statistical Society. Series A, (Statistics in Society)》2004,167(3):475-496
Summary. Official employment-related performance indicators in UK higher education are based on the population of students responding to the 'First destination supplement' (FDS). This generates potentially biased performance indicators as this population of students is not necessarily representative of the full population of leavers from each institution. University leavers who do not obtain qualifications and those who do not respond to the FDS are not included within the official analysis. We compare an employment-related performance indicator based on those students who responded to the FDS with alternative approaches which address the potential non-random nature of this subgroup of university leavers. 相似文献
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Thomas Dietz Ann Stirling Frisch Linda Kalof Paul C. Stern Gregory A. Guagnano 《Rural sociology》1995,60(3):533-542
The American diet has changed substantially over the last few decades. These changes provide a test for social theory and have substantial effects on the demand for various food products, thus impacting U.S. agriculture. In this paper a rapidly growing dietary choice—vegetarianism—is explored. Prevalence of various forms of vegetarianism is estimated in a representative sample of a suburban population and factors that influence choice of a vegetarian diet are examined. About 7 percent of the sample report they are vegetarians. The prevalence of vegetarianism is not influenced by age, gender, or education, but individuals holding traditional values are less likely to be vegetarian than others. There also is some evidence mat individuals holding altruistic values are more likely than others to be vegetarians. 相似文献
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Tree health is a critical parameter for evaluating urban ecosystem health and sustainability. Traditionally, this parameter
has been derived from field surveys. We used multispectral remote sensing data and GIS techniques to determine tree health
at the University of California, Davis. The study area (363 ha) contained 8,962 trees of 215 species. Tree health conditions
were mapped for each physiognomic type at two scales: pixel and whole tree. At the pixel scale, each tree pixel within the
tree crown was classified as either healthy or unhealthy based on vegetation index values. At the whole tree scale, raster
based statistical analysis was used to calculate tree health index which is the ratio of healthy pixels to entire tree pixels
within the tree crown. The tree was classified as healthy if the index was greater than 70%. Accuracy was checked against
a random sample of 1,186 trees. At the whole tree level, 86% of campus trees were classified as healthy with 88% mapping accuracy.
At the pixel level, 86% of the campus tree cover was classified as healthy. This tree health evaluation approach allows managers
to identify the location of unhealthy trees for further diagnosis and treatment. It can be used to track the spread of disease
and monitor seasonal or annual changes in tree health. Also, it provides tree health information that is fundamental to modeling
and analysis of the environmental, social, and economic services produced by urban forests. 相似文献