Workflows for quantitative data analysis in the social sciences
作者： Kenneth J. Turner , Paul S. Lambert
DOI: 10.1007/S10009-014-0315-4
关键词:
摘要: The background is given as to how statistical analysis used by quantitative social scientists. Developing analyses requires substantial effort, yet there are important limitations in current practice. This has motivated the authors create a more systematic and effective methodology with supporting tools. approach modelling data sciences presented. Analysis scripts treated abstractly mathematical functions concretely web services. allows individual be combined into high-level workflows. A comprehensive set of tools workflows defined, automatically validated verified, implemented. expose opportunities for parallel execution, can define support proper fault handling, realised non-technical users. Services, datasets also readily shared. illustrated realistic case study that occupational position relation health.
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