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Educational Testing

Inferences in Relevant Subpopulations

Bibliographic Data

ID9732811
AuthorsMelvin R Novick (University of Iowa, corresponding author)
Year1982
Volume11
Issue8
Pages4-28
Publication date1982-10-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEducational Researcher (JOURNAL)
Journal identifiersISSN: 0013-189X • E-ISSN: 1935-102X
PublisherAmerican Educational Research Association (AERA) (PUBLISHER)
DOI10.3102/0013189x011008004
OpenAlexW1999079201
LanguageEN
Citations received5
References cited32

essarily probabilistic in character. The essence of the scientific game is to make the description precise. The concept of population has received much attention in statistical literature in the works of Fisher (1956), Meehl and Rosen (1955), De Finetti (1974), and Lindley and Novick (1981). In this paper I attempt to show that the idea of relevant population is useful in considering a wide variety of otherwise unrelated problems in educational research. Much of the material in this paper is not new (see Novick, 1981a; Novick 1981c, Novick, 1982; Lindley & Novick, 1981). However, the emphasis and range of applications is distinctive. In places, some details are omitted with reference to one or more of the above papers

Educational research · Educational testing · Epistemology · Mathematics education · Population · Probabilistic logic · Sociology · Standardized test · Statistical hypothesis testing · Statistics · Variety (cybernetics · Artificial Intelligence · Computer Science · Demography · Global Educational Reforms and Inequalities · Mathematics · Philosophy · Psychology · School Choice and Performance

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Unique citing works5
Citations per year0,12
Citation span1984 - 1987 (4)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 4

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