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An evaluation of item selection methods by a criterion of internal consistency.

Various methods have been employed in the evaluation of item selection methods. Typical among these studies are those made by Barthelmess, Lentz and Long and Sandiford. Barthelmess (l), has used an intercorrelational technique in evaluating various methods of item selection. Validity values were computed for each of the hundred elements of the McCall Multi-Mental Scale, Elementary Form 1, by each of the methods of item selection being studied, namely, Eta, Long, McCall, Vincent, Corrected Vincent and Bi-serial r. These methods were then evaluated on the basis of intercorrelation of each method with all the other methods. Results showed that the Eta (Correlation Ratio) and the Bi-serial r methods ranked first and second respectively. Using a criterion X, composed of a series of tests (Stanford Achievement Test, Stanford Revision of the Binet-Simon Intelligence Test A, Thorndike-McCall Reading Scale, Woody-McCall Mixed Fundamentals in Arithmetic, Morrison-McCall Spelling Scale), Barthelmess judged the validity methods under study according to their success in selecting the ten best, twenty best, thirty best, forty best, fifty best items. On the basis of correlations with criterion X of the ten best items, as chosen by each method, the Long, McCall, Eta, and Biserial r methods ranked first, second, third and fourth respectively. [...]

Identiferoai:union.ndltd.org:LACETR/oai:collectionscanada.gc.ca:QMM.122925
Date January 1949
CreatorsBlascik, Frank.
ContributorsFerguson, G. (Supervisor)
PublisherMcGill University
Source SetsLibrary and Archives Canada ETDs Repository / Centre d'archives des thèses électroniques de Bibliothèque et Archives Canada
LanguageEnglish
Detected LanguageEnglish
TypeElectronic Thesis or Dissertation
Formatapplication/pdf
CoverageMaster of Arts. (Department of Psychology.)
RightsAll items in eScholarship@McGill are protected by copyright with all rights reserved unless otherwise indicated.
Relationalephsysno: 000756574, Theses scanned by McGill Library.

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