5 resultados para survey research
em University of Queensland eSpace - Australia
Resumo:
Current knowledge about the variety and complexity of the processes that allow regulated gene expression in living organisms calls for a new understanding of genes. A 'postgenomic' understanding of genes as entities constituted during genome expression is outlined and illustrated with specific examples that formed part of a survey research instrument developed by two of the authors for an ongoing empirical study of conceptual change in contemporary biology. Copyright (C) 2006 S. Karger AG, Basel.
Resumo:
Few organizational change studies identify the aspects of change that are salient to individuals and that influence well-being. The authors identified three distinct change characteristics: the frequency, impact and planning of change. R. S. Lazarus and S. Folkman's (1984) cognitive phenomenological model of stress and coping was used to propose ways that these change characteristics influence individuals' appraisal of the uncertainty associated with change, and, ultimately, job satisfaction and turnover intentions. Results of a repeated cross-sectional study that collected individuals' perceptions of change one month prior to employee attitudes in consecutive years indicated that while the three change perceptions were moderately to strongly intercorrelated, the change perceptions displayed differential relationships with outcomes. Discussion focuses on the importance of systematically considering individuals' subjective experience of change.
Resumo:
Screening measures of cognitive status are traditionally administered face to face. In survey research such screening mcasurcs, while desirable, must he administered by other means. As part of pilot survey research on a New Zealand war veteran population with some degree of hearing impairment, a face-to-face administration of the Mini-Mental State Examination (MMSE; Folstein, Folstein and McHugh, 1975) and a telephoneadministration of the Telephonc Interview for Cognitive Status (TICS; Brandt, Spencer and Folstein. 1988) were compared. Brandt ('/ u/. (1988) reported a very strong linear relationship between scores on the MMSE and the TICS (r=0.94, p < .0001) in an Alzheimer patient population with a mcan MMSE score of 12.06 (6.78). For a sample of 44 mildly to moderately hearing impaired veterans, with a mean MMSE score of 25.52 (2.16) and a mean TICS score of 32.52(5.43), the correlation between the instruments was .39. When veterans who wore hearing aids during the telephone interview ( N = 2 2 ) wcrc separated out from those who did not, the correlation rose to .54. Age was ncgatively correlated with the MMSE ( r = -0.41, / I < .01) and not significantly correlated with the TICS. Education level was unrelated to either measure. The data suggest that the wearing or non-wearing of hearing aids may contribute significantly to the reliability of the TICS. Furthermore, on non-demented populations with a less restricted range of scores. the correlation of the MMSE and TICS may he lower than previously reported.
Resumo:
Research expeditions into remote areas to collect biological specimens provide vital information for understanding biodiversity. However, major expeditions to little-known areas are expensive and time consuming, time is short, and well-trained people are difficult to find. In addition, processing the collections and obtaining accurate identifications takes time and money. In order to get the maximum return for the investment, we need to determine the location of the collecting expeditions carefully. In this study we used environmental variables and information on existing collecting localities to help determine the sites of future expeditions. Results from other studies were used to aid in the selection of the environmental variables, including variables relating to temperature, rainfall, lithology and distance between sites. A survey gap analysis tool based on 'ED complementarity' was employed to select the sites that would most likely contribute the most new taxa. The tool does not evaluate how well collected a previously visited site survey site might be; however, collecting effort was estimated based on species accumulation curves. We used the number of collections and/or number of species at each collecting site to eliminate those we deemed poorly collected. Plants, birds, and insects from Guyana were examined using the survey gap analysis tool, and sites for future collecting expeditions were determined. The south-east section of Guyana had virtually no collecting information available. It has been inaccessible for many years for political reasons and as a result, eight of the first ten sites selected were in that area. In order to evaluate the remainder of the country, and because there are no immediate plans by the Government of Guyana to open that area to exploration, that section of the country was not included in the remainder of the study. The range of the ED complementarity values dropped sharply after the first ten sites were selected. For plants, the group for which we had the most records, areas selected included several localities in the Pakaraima Mountains, the border with the south-east, and one site in the north-west. For birds, a moderately collected group, the strongest need was in the north-west followed by the east. Insects had the smallest data set and the largest range of ED complementarity values; the results gave strong emphasis to the southern parts of the country, but most of the locations appeared to be equidistant from one another, most likely because of insufficient data. Results demonstrate that the use of a survey gap analysis tool designed to solve a locational problem using continuous environmental data can help maximize our resources for gathering new information on biodiversity. (c) 2005 The Linnean Society of London.