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University of Toronto

Department of Computer Science

CSC444 Lec03 11

Principles of Measurement

Types of Metric

algorithmic vs. subjective

process vs. product

Good metrics are:

simple (to collect and interpret)

valid (measure what they purport to measure)

robust (insensitive to manipulation)

prescriptive

analyzable

5 types of scale

nominal (=, make sense; discrete categories)

ordinal (<, >, =, make sense; e.g. oven temps: cool, warm, hot, very hot)

interval (+, -, <, >, = make sense; e.g. temperature in centigrade)

ratio (x, ÷, +, -, <, >, = make sense; e.g. temperature in Kelvin)

absolute (a natural number count)

“You Cannot Control What You Cannot Measure”

Source: Adapted from Blum, 1992, p457-458

see also: van Vliet pp104-9

© 2001, Steve Easterbrook

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