Mental testing, its history, principles, and applications.
ABSTRACT This textbook is organized into 4 parts. Part 1 is composed of 6 chapters and gives an historical orientation to the field. Part 2 consists of 13 chapters and deals with the principles and methods of mental testing, including problems of sampling, analysis and selection of test items, units of measurement, standard scores and their derivates, analysis of variance, mental organization, etc. Part 3 comprises 9 chapters and deals with the various tests and scales used to measure intelligence, aptitude, achievement, personality, etc. Part 4 with 8 chapters discusses the application of mental tests in the areas of industry, social welfare, the armed forces, etc. Bibliography. (PsycINFO Database Record (c) 2012 APA, all rights reserved)
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ABSTRACT: The present article addresses reliability issues in light of recent studies and debates focused on psychometrics versus datametrics terminology and reliability generalization (RG) introduced by Vacha-Haase. The purpose here was not to moderate arguments presented in these debates but to discuss multiple perspectives on score reliability and how they may affect research practice, editorial policies, and RG across studies. Issues of classical error variance and reliability are discussed across models of classical test theory, generalizability theory, and item response theory. Potential problems with RG across studies are discussed in relation to different types of reliability, different test forms, different number of items, misspecifications, and confounding independent variables in a single RG analysis.Educational and Psychological Measurement 01/2002; 62(5):783-801. · 1.07 Impact Factor