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Keeping Track and Staying Sane

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Quantitative Data Analysis

Abstract

Here this books draws to a close, but your efforts in data analysis continue. As we are sure you know, conducting data analyses can be long, tedious, and confusing. Some of us enjoy digging around, trying new things, and looking at new software and new ways of collecting, treating, and analyzing data, and we get excited about results and what they might mean. On the other hand, the absence of good data, good findings, clear outcomes, and a clear understanding of what they mean can weigh heavily. Even so, rest assured that there are some tricks to get you going and keep you going.

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Notes

  1. 1.

    Check out this amazing service offered for free to the scientific community: http://retractionwatch.com/

  2. 2.

    Recker, Jan (2012) Scientific Research in Information Systems: A Beginner’s Guide. Heidelberg, Germany: Springer.

  3. 3.

    http://www.brainyquote.com/quotes/quotes/v/vinscully205138.html?src=t_statistics; http://quoteinvestigator.com/2014/01/15/stats-drunk/

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Mertens, W., Pugliese, A., Recker, J. (2017). Keeping Track and Staying Sane. In: Quantitative Data Analysis. Springer, Cham. https://doi.org/10.1007/978-3-319-42700-3_9

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