Philosophical Perspectives on Measurement

Author:

Mari Luca,Wilson Mark,Maul Andrew

Abstract

AbstractThis chapter aims to present a brief conceptual history of philosophical thinking about measurement, concentrating in particular on the issues of objectivity and subjectivity, realism and nonrealism, and the role of models in measurement, as well as a discussion of how these philosophical issues have shaped thinking and discourse about measurement in both the human and physical sciences. First, three perspectives on measurement and its epistemic status are discussed, grouped as (a) naive realism, (b) operationalism, and (c) representationalism. Following this, we discuss how these perspectives have informed thinking about the concept of validity in the human sciences, and how they have influenced the way in which measurement is characterized in different contexts as being dependent on empirical and/or mathematical constraints. We then attempt to synthesize these perspectives and propose a version of model-dependent realism which maintains some of the elements of each of these perspectives and at the same time rejects their most radical aspects, by acknowledging the fundamental role of models in measurement but also emphasizing that models are always models of something: the empirical components of measurement are designed and operated to guarantee that, via such models, measurement results convey information on the intended property. The analysis also provides a simple explanation of two of the most critical stereotypes that still affect measurement science: the hypotheses that (1) measurement is quantification, which hides the relevance of the empirical component of the process, and that (2) measurement is only a process of transmission and presentation of preexisting information, usually intended as the “true value” of the measurand, which instead neglects the role of models in the process.

Publisher

Springer International Publishing

Reference127 articles.

1. American Educational Research Association (AERA) and other two Organizations (2014). Standards for psychological and educational tests. American Educational Research Association (AERA), American Psychological Association (APA), and National Council for Measurement in Education (NCME).

2. Austin, J. L. (1975). How to do things with words (Vol. 88). Oxford University Press.

3. Babbie, E. (2013). The practice of social research (13th ed.). Wadsworth.

4. Bell, S. (1999). A beginner’s guide to uncertainty of measurement. Measurement Good Practice Guide No. 11 (2nd ed.). National Physical Laboratory. Retrieved from eprintspublications.npl.co.uk/1568

5. Bentley, J. P. (2005). Principles of measurement systems. Pearson.

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