Overview
- Authors:
-
-
Isaac I. Bejar
-
Division of Education Policy Research, Educational Testing Service, Princeton, USA
-
Roger Chaffin
-
Trenton State College, Trenton, USA
-
Susan Embretson
-
University of Kansas, Lawrence, USA
Access this book
Other ways to access
Table of contents (10 chapters)
-
-
- Isaac I. Bejar, Roger Chaffin, Susan Embretson
Pages 1-6
-
- Isaac I. Bejar, Roger Chaffin, Susan Embretson
Pages 7-54
-
- Isaac I. Bejar, Roger Chaffin, Susan Embretson
Pages 55-91
-
- Isaac I. Bejar, Roger Chaffin, Susan Embretson
Pages 93-117
-
- Isaac I. Bejar, Roger Chaffin, Susan Embretson
Pages 119-135
-
- Isaac I. Bejar, Roger Chaffin, Susan Embretson
Pages 137-151
-
- Isaac I. Bejar, Roger Chaffin, Susan Embretson
Pages 153-168
-
- Isaac I. Bejar, Roger Chaffin, Susan Embretson
Pages 169-186
-
- Isaac I. Bejar, Roger Chaffin, Susan Embretson
Pages 187-201
-
- Isaac I. Bejar, Roger Chaffin, Susan Embretson
Pages 203-210
-
Back Matter
Pages 211-237
About this book
If one were to conduct an analysis of any profession the "ability to think analogically" is more than likely to be one of the requirements for success, be it an architectural studio, a research laboratory, a legal office, or a nuclear plant. Cognitive scientists are aware of the prominence of analogical reasoning in all forms of reasoning and learning, and have devoted substantial effort to ascer taining its nature. Test builders, like cognitive scientists, are aware of the cen trality of analogical reasoning and figure, correctly, that a test that samples a student's ability to think analogically may well be a good predictor of success in a variety of fields. This book is the result of a project to investigate analogical reasoning from both an individual differences and a cognitive perspective. The book is directed to both researchers and practitioners concerned with the nature and measurement of analogical reasoning. Cognitive scientists, linguists, psycholinguists, and natural language researchers will find the seman tic taxonomy and accompanying empirical results food for thought. Test devel opers will fmd it reassuring that performance on verbal analogy items is not just a reflection of the size of a person's vocabulary, and that tests can be designed according to principles, rather than assembled to satisfy a set of statistical speci fications. Psychometricians will find that content and response modelling can go together and that there are distinct benefits in approaching psychometric re sponse modelling from that integrative perspective.
Authors and Affiliations
-
Division of Education Policy Research, Educational Testing Service, Princeton, USA
Isaac I. Bejar
-
Trenton State College, Trenton, USA
Roger Chaffin
-
University of Kansas, Lawrence, USA
Susan Embretson