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Introduction

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Generalizability Theory

Part of the book series: Statistics for Social Sciences and Public Policy ((SSBS))

Abstract

The pursuit of scientific endeavors necessitates careful attention to measurement procedures, the purpose of which is to acquire information about certain attributes or characteristics of objects. However, the information obtained from any measurement procedure is fallible to some degree. This is evident even for a seemingly uncontroversial measurement procedure such as one used to associate a numerical value (measurement) with the length of an object. Clearly, the measurements obtained may vary depending on numerous conditions of measurement, such as the ruler used, the person who records the measurement, lighting conditions, and the like.

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© 2001 Springer-Verlag Berlin Heidelberg

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Brennan, R.L. (2001). Introduction. In: Generalizability Theory. Statistics for Social Sciences and Public Policy. Springer, New York, NY. https://doi.org/10.1007/978-1-4757-3456-0_1

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  • DOI: https://doi.org/10.1007/978-1-4757-3456-0_1

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4419-2938-9

  • Online ISBN: 978-1-4757-3456-0

  • eBook Packages: Springer Book Archive

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