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- W2022718360 abstract "Many businesses fail to merge and analyze data effectively. When data are merged from diverse independent sources across a business — something that is now practical and inexpensive — it becomes possible to conduct rigorous pretest-posttest comparisons of complex datasets with a precision, speed, and breadth that have not been practical until now. This paper describes a straightforward method for merging independent datasets and using the compiled data to run informative quantitative analyses that facilitate sound decision-making. Our approach can help support several critical tasks in evidence-based management: documenting changes in the corporate culture; measuring linkages between “soft” perceptual variables and “hard” performance metrics; conducting rigorous pretest-posttest comparisons; and evaluating program effectiveness. We provide case-study examples using merged datasets, along with a brief discussion of experimental designs, underlying theory, pitfalls, impediments, and essential features." @default.
- W2022718360 created "2016-06-24" @default.
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- W2022718360 date "2009-10-01" @default.
- W2022718360 modified "2023-09-26" @default.
- W2022718360 title "Merged Datasets: An Analytic Tool for Evidence-Based Management" @default.
- W2022718360 hasPublicationYear "2009" @default.
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