"Obviously, most psychometricians would favor a less straightforward sense of representation, one in which sameness or difference of test scores only indicated sameness or difference of the attribute represented with a specific probability. For example, Rasch's theory of test scores, mentioned in Chapter 1, allows people of the same ability to obtain different scores and people of different levels of ability to get the same score on particular occasions."
Joel Michell (1999) Measurement in Psychology: Critical History of a Methodological Concept. Cambridge: Cambridge University Press. p. 166-7 n.
Can anyone illuminate what he might be after here?
Michell is contrasting Rasch models with "error-free" models. In these strictly deterministic models, a latent measure is always observed as a particular score, and a particular score always indicates the same latent measure. Under Rasch model conditions, in contrast, the relationship between measures and scores is probabilistic. Any score can be observed for a particular measure, and any measure can generate a particular score. Figures 1 and 2 illustrate this for a test of 5 uniformly distributed items.
Michell, however, errs when he perceives the Rasch model to be a model of psychological processes, rather than the necessary and sufficient expression of measurement. "If Rasch's hypothesis is correct, the estimates can be regarded as measures of the ability involved. Some psychologists claim to be able in this way to measure intellectual abilities." (p. 12)
Scores and measures. Michell J, Bond T. Rasch Measurement Transactions, 2000, 14:1 p.731
|Rasch Measurement Transactions (free, online)||Rasch Measurement research papers (free, online)||Probabilistic Models for Some Intelligence and Attainment Tests, Georg Rasch||Applying the Rasch Model 3rd. Ed., Bond & Fox||Best Test Design, Wright & Stone|
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