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Several decades of psychometric research have led to the development of sophisticated models for multidimensional test data, and in recent years, multidimensional item response theory (MIRT) has become a burgeoning topic in psychological and educational measurement. Considered a cuttingedge statistical technique, the methodology underlying MIRT can be complex, and therefore doesnt receive much attention in introductory IRT courses. However author Wes Bonifay shows how MIRT can be understood and applied by anyone with a firm grounding in unidimensional IRT modeling. His volume includes practical examples and illustrations, along with numerous figures and diagrams. Multidimensional Item Response Theory includes snippets of R code interspersed throughout the text (with the complete R code included on an accompanying website) to guide readers in exploring MIRT models, estimating the model parameters, generating plots, and implementing the various procedures and applications discussed throughout the book.
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer,
birth defects, or other reproductive harm.
The content is quite dense and can be hard to get through at times. I appreciate the depth it goes into, but clearer examples would have been nice. Overall, a solid resource for those who really need to understand item response theory in detail.
S
Sanjay Patel
Great for advanced statistics courses
I used this book for my social sciences research class, and it was incredibly helpful. The quantitative applications are well explained, making complex concepts much easier to grasp. Perfect for anyone diving into multidimensional items!
C
Carlos Ramirez
Poor print quality
I was disappointed with the print quality of the book when it arrived. Pages were crinkled, and some diagrams were hard to read. The content is valuable, but the presentation needs improvement. Wouldn't buy again unless I see better reviews on the print condition.
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