{"product_id":"using-r-for-item-response-insu-paek-9781138542785","title":"Using R for Item Response Theory Model Applications","description":"\u003cp\u003eItem response theory (IRT) is widely used in education and psychology and is expanding its applications to other social science areas, medical research, and business as well. \u003ci\u003eUsing R for Item Response Theory Model Applications\u003c\/i\u003e is a practical guide for students, instructors, practitioners, and applied researchers who want to learn how to properly use R IRT packages to perform IRT model calibrations with their own data.\u003c\/p\u003e\u003ci\u003e \u003c\/i\u003e\u003cp\u003e\u003c\/p\u003e \u003cp\u003eThis book provides practical line-by-line descriptions of how to use R IRT packages for various IRT models. The scope and coverage of the modeling in the book covers almost all models used in practice and in popular research, including: \u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e \u003cul\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003edichotomous response modeling\u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003epolytomous response modeling\u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003emixed format data modeling\u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003econcurrent multiple group modeling\u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003efixed item parameter calibration\u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003emodelling with latent regression to include person-level covariate(s)\u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003esimple structure, or between-item, multidimensional modeling\u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003ecross-loading, or within-item, multidimensional modeling\u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003ehigh-dimensional modeling\u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003ebifactor modeling\u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003etestlet modeling\u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003etwo-tier modeling\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003eFor beginners, this book provides a straightforward guide to learn how to use R for IRT applications. For more intermediate learners of IRT or users of R, this book will serve as a great time-saving tool for learning how to create the proper syntax, fit the various models, evaluate the models, and interpret the output using popular R IRT packages.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Insu Paek, Ki Cole\u003cbr\u003e\u003cb\u003eISBN-10:\u003c\/b\u003e 1138542784\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9781138542785\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Routledge\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 09\/10\/2019\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 272\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Hardcover\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 1.26lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.21h x 6.14w x 0.69d","brand":"Insu Paek","offers":[{"title":"Hardcover","offer_id":43947805311231,"sku":"9781138542785","price":170.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0662\/2982\/9887\/products\/img_c27e340c-66dc-4d2f-aaf2-beead4c4cbe0.jpg?v=1681520905","url":"https:\/\/www.whiterainbookhouse.com\/products\/using-r-for-item-response-insu-paek-9781138542785","provider":"WR Book House","version":"1.0","type":"link"}