60 research outputs found
Data used in Langhammer et al. 2024. The Positive Impact of Conservation Action. Science
Data used in Langhammer et al, which is a meta-analysis by authors: Penny F. Langhammer, Joseph W. Bull, Jake E. Bicknell, Joseph L. Oakley, Mary H. Brown, Michael W. Bruford, Stuart H. M. Butchart, Jamie A. Carr, Don Church, Rosie Cooney, Simone Cutajar, Wendy Foden, Matthew N. Foster, Claude Gascon, Jonas Geldmann, Piero Genovesi, Michael Hoffmann, Jo Howard-McCombe, Tiffany Lewis, Nicholas B.W. Macfarlane, Zoe E. Melvin, Rossana G. Merizalde, Meredith G. Morehouse, Shyama Pagad, Beth Polidoro, Wes Sechrest, Gernot Segelbacher, Kevin G. Smith, Janna Steadman, Kyle Strongin, Jake Williams, Stephen Woodley, Thomas M. Brook
The Interim Leader: Organizational Considerations Before the Permanent Leader Arrives
Organizations have situations in which there is unexpected change at the executive level when a leader departs, and provisional leadership is required. Interim executives serve organizations for brief periods of time, but often play a pivotal role in leading successful executive transitions, providing crucial leadership while organizations take time to assess and strategically prepare for new permanent leadership. The author served in an interim executive role and did a review of the limited existing literature to help prepare for that role. This heuristic reflection suggests some important considerations for an organization faced with the immediate need for a new leader and a call for more research
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Retrospective pretests: Conceptual and methodological issues
Retrospective pretests provide a potentially useful elaboration on research methodology if they can be shown to be dependable under specific sets of conditions. Previous studies have examined response-shift bias and response-style effects, but less attention has been given to memory distortion associated with the retrospective recall of diverse types of variables. Identifying psychometric characteristics of these measures may help to clarify the picture emerging from retrospective accounts. The present study applied a methodology developed to measure the systematic error (i.e., memory distortion) that may be associated with variables involving a range of recall tasks. The study examined which types of variables account for the least measurement error in retrospective pretests administered at three time points. The types of variables examined in this study include students' self-ratings of academic abilities, self-reported attitudes and opinions about college, mood states, and perceptions of general health. The results of this study indicate that there was no main effect of time on any of the pairs of difference scores, and a moderate level of memory distortion was detected in the three variable types examined. The methodology applied provides an effective approach to understanding the effect of memory distortion on retrospective pretest variables. The author recommends that future applications of this methodology be applied to heterogeneous populations, investigate a range of complex variables, and include an examination of individual subject differences
EXAMINING THE ROLE OF ANXIETY AVOIDANCE IN THE EFFECT OF STEREOTYPE THREAT ON WORKING MEMORY CAPACITY
Rights Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author. Downloaded 18-Feb-2016 19:41:51 Link to ite
Methodological considerations in reserve system selection: A case study of Malagasy lemurs
Human population density and extinction risk in the world's carnivores.
Understanding why some species are at high risk of extinction, while others remain relatively safe, is central to the development of a predictive conservation science. Recent studies have shown that a species' extinction risk may be determined by two types of factors: intrinsic biological traits and exposure to external anthropogenic threats. However, little is known about the relative and interacting effects of intrinsic and external variables on extinction risk. Using phylogenetic comparative methods, we show that extinction risk in the mammal order Carnivora is predicted more strongly by biology than exposure to high-density human populations. However, biology interacts with human population density to determine extinction risk: biological traits explain 80% of variation in risk for carnivore species with high levels of exposure to human populations, compared to 45% for carnivores generally. The results suggest that biology will become a more critical determinant of risk as human populations expand. We demonstrate how a model predicting extinction risk from biology can be combined with projected human population density to identify species likely to move most rapidly towards extinction by the year 2030. African viverrid species are particularly likely to become threatened, even though most are currently considered relatively safe. We suggest that a preemptive approach to species conservation is needed to identify and protect species that may not be threatened at present but may become so in the near future
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