- We will send in 10–14 business days.
/images/books/4353768/9780803920477.jpg)
- Author: Isaac I Bejar
- Publisher: SAGE Publications, Inc
- ISBN-10: 0803920474
- ISBN-13: 9780803920477
- Format: 14 x 21.6 x 0.6 cm, softcover
- Language: English
- SAVE -10% with code: EXTRA
Reviews
Description
A book which summarizes many of the recent advances in the theory and practice of achievement testing, in the light of technological developments, and developments in psychometric and psychological theory. It provides an introduction to the two major psychometric models, item response theory and generalizability theory, and assesses their strengths for different applications. The book closes with some speculations about the future of achievement tests for the assessment of individuals, as well as monitoring of educational progress.
`...the book contains valuable information for both beginners and for advanced workers who want an overview of recent work in achievement testing.′ -- The Journal of the American Statistical A
EXTRA 10 % discount with code: EXTRA
The promotion ends in 15d.09:04:31
The discount code is valid when purchasing from 10 €. Discounts do not stack.
- Author: Isaac I Bejar
- Publisher: SAGE Publications, Inc
- ISBN-10: 0803920474
- ISBN-13: 9780803920477
- Format: 14 x 21.6 x 0.6 cm, softcover
- Language: English English
A book which summarizes many of the recent advances in the theory and practice of achievement testing, in the light of technological developments, and developments in psychometric and psychological theory. It provides an introduction to the two major psychometric models, item response theory and generalizability theory, and assesses their strengths for different applications. The book closes with some speculations about the future of achievement tests for the assessment of individuals, as well as monitoring of educational progress.
`...the book contains valuable information for both beginners and for advanced workers who want an overview of recent work in achievement testing.′ -- The Journal of the American Statistical A
Reviews