Cheng Hua,Stefanie A. Wind
Rasch Measurement Theory Analysis in R
Rasch Measurement Theory Analysis in R
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- More about Rasch Measurement Theory Analysis in R
R-For-Data-Analysis provides reproducible data analysis examples and an e-book website with links to additional resources, making it accessible to users with little experience in R programming. It offers dichotomous and polytomous Rasch models for data from various disciplines.
Format: Hardback
Length: 316 pages
Publication date: 03 June 2022
Publisher: Taylor & Francis Ltd
Are you looking for an easy-to-use and comprehensive guide to R programming? Look no further! Our book is designed to be accessible to users with relatively little experience with R, while still providing reproducible data analysis examples that can be modified to accommodate users' own data.
Accompanying our book is a comprehensive e-book website that offers a wealth of additional resources and R code updates as needed. Whether you're a beginner or an experienced R user, you'll find everything you need to take your data analysis skills to the next level.
Our book features dichotomous and polytomous (rating scale) Rasch models that can be applied to data from a wide range of disciplines, including psychology, education, and healthcare. With these powerful models, you can analyze and interpret data more effectively, making informed decisions based on your results.
So why wait? Get your copy of our R programming guide today and start unlocking the power of data analysis with R!
Dimension: 234 x 156 (mm)
ISBN-13: 9781032005607
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