On the Nature of Measurement Flashcards
Are the necessary and sufficient conditions for measurement?
No, but there are common components that the authors argue for.
4 Central Components of Measurement
T (Theory)
I (Instrumentation)
S (Scales & Units)
M (Modeling)
Euclidean understanding of measurement.
Defined measure in terms of ratios of magnitudes (lesser vs. greater)
Stanley Smith Stevens
Proposed measurement to be assignment of numerals to objects or events according to rules.
Came up with nominal, ordinal, interval, ratio scales
Norman Campbell and Ferguson Committee
Campbell proposed that property must be both orderable and additive to be considered measurement
Problem was psychophysics was not additive. Can’t be considered measurement.
Classical Test Theory (CTT)
result = true score + error (Spearman)
Generalizability Theory (GT)
Includes facets. a “universe score” as true score (?)
Item Response Theory (IRT)
- what does it provide that CTT and GT doesn’t?
Provides scales and units.
What is Modeling in TISM?
Applying formal models to characterize the uncertainty of measurement results
Systematic vs. Random error
Systematic is predictable and constant. Random is unpredictable and unknown.
Substantive theory
provides a framework of the nature of a concept (?)
Validity according to Samuel Messick (1989)
The degree to which evidence and theory support the interpretations of test scores for the proposed uses of tests.
Types of uncertainty (3)
Definitional uncertainty (how property is defined)
Instrumental uncertainty (physical limitations from instrument)
Calibration uncertainty (uncertainty about unit or how scales are defined)