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Independency and operationism in Q-sorting

Authors: William Stephenson;

Independency and operationism in Q-sorting

Abstract

Misgivings about the independency of items in Q-sorting are shown to be due to misunderstandings about what is operational and what is not, and to the fallacy of thinking of items in a Q-sample in logical instead of in psychological-situational terms. Q-samples are composed of balanced block designs for systematic, logical reasons. But Q-sorting has no such logical involvement; it concerns, instead, the subject’s understanding or apperception of a situation. What is independent, and what not, is therefore a matter of fact, not of definition. And because operations are inductive, Q-sortings are analyzed by inductive factor analysis rather than by variance analysis, though for some purposes the latter is of course in order.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
10
Average
Top 10%
Average
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