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The calculation of new and improved WISC‐III subtest reliability, uniqueness, and general factor characteristic information through the use of data smoothing procedures
Author(s) -
McGrew Kevin S.,
Wrightson Wade
Publication year - 1997
Publication title -
psychology in the schools
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.738
H-Index - 75
eISSN - 1520-6807
pISSN - 0033-3085
DOI - 10.1002/(sici)1520-6807(199707)34:3<181::aid-pits1>3.0.co;2-s
Subject(s) - psychology , reliability (semiconductor) , smoothing , test (biology) , wechsler intelligence scale for children , psychometrics , uniqueness , sample (material) , statistics , cognitive psychology , developmental psychology , wechsler adult intelligence scale , social psychology , mathematics , cognition , paleontology , power (physics) , physics , chemistry , quantum mechanics , chromatography , biology , neuroscience
Assessment practitioners are often encouraged to adopt an “intelligent” approach to the interpretation of intelligence tests. A fundamental assumption of the “intelligent testing” philosophy is that psychometric test information (e.g., subtest g loadings) should be considered during the interpretive process. The relevant psychometric information is provided in the form of sample‐based estimates. Unfortunately, the accuracy of these estimates, and the subsequent qualitative classification of intelligence subtests (e.g., good, fair, poor), are influenced to an unknown degree by sampling error. The current study demonstrated how data smoothing procedures, procedures commonly used in the development of continuous test norms, can be used to provide better estimates of the reliability, uniqueness, and general factor characteristics for the WISC‐III subtests. © 1997 John Wiley & Sons, Inc.