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Validating Student Data for Scientific Use

An Example from the GLOBE Program

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Internet Links for Science Education

Part of the book series: Innovations in Science Education and Technology ((ISET,volume 4))

Abstract

The need for accurate data is universal. For scientific use of data collected by students, high accuracy is a prerequisite. Valid student-collected data for scientific purposes is of great benefit, both to the student who experiences science firsthand and to scientists who then have a larger database of information. Therefore, projects and techniques that provide for validating student data are extremely useful. Such a technique was applied in a program called GLOBE.

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References

  • Y. Bishop, S. Fienberg, and P. Holland, Discrete Multivariate Analysis: Theory and Practice (Cambridge, MA: MIT Press, 1975).

    Google Scholar 

  • R. Congalton, “A review of assessing the accuracy of classifications of remotely sensed data,” Remote Sensing of Environment. 37(1991):35–46.

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  • Stephen E. Fienberg, The Analysis of Cross-Classified Categorical Data (Cambridge, MA: MIT Press, 1980).

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  • D. Landgrebe and L. Biehl, “An introduction to MultiSpec,” Purdue Research Foundation, Purdue University, West Lafayette, IN (1995).

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  • M. Story and R. Congalton, “Accuracy assessment: A user’s perspective,” Photogrammetric Engineering and Remote Sensing. 52(3)(1986):397–399.

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© 1997 Springer Science+Business Media New York

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Congalton, R.G., Becker, M.L. (1997). Validating Student Data for Scientific Use. In: Cohen, K.C. (eds) Internet Links for Science Education. Innovations in Science Education and Technology, vol 4. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-5909-2_9

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  • DOI: https://doi.org/10.1007/978-1-4615-5909-2_9

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-0-306-45558-2

  • Online ISBN: 978-1-4615-5909-2

  • eBook Packages: Springer Book Archive

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