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Margaret Wu - Educational Measurement for Applied Researchers - 9789811033001 - V9789811033001
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Educational Measurement for Applied Researchers

€ 184.14
FREE Delivery in Ireland
Description for Educational Measurement for Applied Researchers Hardback. Num Pages: 306 pages, 40 black & white illustrations, 74 colour illustrations, biography. BIC Classification: JHBC; JNKD; PBT; UFM. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 19. Weight in Grams: 643.

This book is a valuable read for a diverse group of researchers and practitioners who analyze assessment data and construct test instruments. It focuses on the use of classical test theory (CTT) and item response theory (IRT), which are often required in the fields of psychology (e.g. for measuring psychological traits), health (e.g. for measuring the severity of disorders), and education (e.g. for measuring student performance), and makes these analytical tools accessible to a broader audience. 

Having taught assessment subjects to students from diverse backgrounds for a number of years, the three authors have a wealth of experience in presenting educational ... Read more

This book can serve as a textbook for introductory courses on educational measurement, as supplementary reading for advanced courses, or as a valuable reference guide for researchers interested in analyzing student assessment data.


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Product Details

Format
Hardback
Publication date
2017
Publisher
Springer Verlag, Singapore Singapore
Number of pages
306
Condition
New
Number of Pages
306
Place of Publication
Singapore, Singapore
ISBN
9789811033001
SKU
V9789811033001
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

About Margaret Wu
  Margaret Wu has taught a number of Educational Measurement courses at the University of Melbourne. She has been involved in large-scale assessment programs such as PISA and TIMSS. Margaret’s research interests include the development of item response models and mathematics problem solving. She has co-authored two IRT software programs (ACERConQuest and the TAM package in R). ... Read more

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