Open AccessDEVELOPMENT, SELECTION AND VALIDATION OF A SET OF COGNITIVE AND LINGUISTIC ATTRIBUTES FOR THE SAT I VERBAL: ANALOGY SECTION 1
Author(s) -
Buck Gary,
VanEssen Tom,
Tatsuoka Kikumi,
Kostin Irene,
Lutz Donna,
Phelps Matthew
Publication year - 1998
Publication title -
ets research report series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.235
H-Index - 5
ISSN - 2330-8516
DOI - 10.1002/j.2333-8504.1998.tb01768.x
Subject(s) - generalizability theory , analogy , set (abstract data type) , cognition , test (biology) , selection (genetic algorithm) , natural language processing , cognitive psychology , psychology , artificial intelligence , test set , computer science , linguistics , developmental psychology , paleontology , philosophy , neuroscience , biology , programming language
The purpose of this study is to use the rule space procedure to develop a general set of cognitive and linguistic attributes that account for performance on the Analogy Section of the SAT I Verbal. The overall research strategy was to develop a set of cognitive and linguistic attributes on one form of the Analogy Section, the experimental form, and then to examine the generalizability of these by applying the same set of attributes to a different form of the test, the generalizability form. Results produced a set 13 cognitive and linguistic attributes, with 6 interaction attributes, that were able to classify 97% of test‐takers into their latent knowledge states on the experimental form; the same set of attributes were able to classify 90% of test takers into their latent knowledge states on the generalizability form. The analysis provides a strong indication of the important determinants of success on the SAT Analogy task, and provides evidence that these are relatively stable across forms.