892 resultados para monitoring and evaluation


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"January 1991."

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Issued Sept. 1976.

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Issued May 1977.

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Mode of access: Internet.

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Mode of access: Internet.

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This study investigated factors that influence managers’ conceptions and subordinates’ perceptions of effective feedback. A social rules perspective was used to operationalize male and female managers’ conceptions of effective negative feedback. In the first study, 68 male and female managers identified their optimal strategies for providing feedback to subordinates. Male and female managers endorsed different goals and tactics for giving negative feedback, particularly in terms of levels of participation and directness. In the second study, 116 male and female subordinates evaluated the comparative effectiveness and difficulty of these and other standard approaches to feedback. The female manager strategy was evaluated by both men and women as generally more task and relationship effective but not more difficult to enact.

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Manual curation has long been held to be the gold standard for functional annotation of DNA sequence. Our experience with the annotation of more than 20,000 full-length cDNA sequences revealed problems with this approach, including inaccurate and inconsistent assignment of gene names, as well as many good assignments that were difficult to reproduce using only computational methods. For the FANTOM2 annotation of more than 60,000 cDNA clones, we developed a number of methods and tools to circumvent some of these problems, including an automated annotation pipeline that provides high-quality preliminary annotation for each sequence by introducing an uninformative filter that eliminates uninformative annotations, controlled vocabularies to accurately reflect both the functional assignments and the evidence supporting them, and a highly refined, Web-based manual annotation tool that allows users to view a wide array of sequence analyses and to assign gene names and putative functions using a consistent nomenclature. The ultimate utility of our approach is reflected in the low rate of reassignment of automated assignments by manual curation. Based on these results, we propose a new standard for large-scale annotation, in which the initial automated annotations are manually investigated and then computational methods are iteratively modified and improved based on the results of manual curation.