{"product_id":"applying-test-equating-methods-using-r-practical-guide","title":"Applying Test Equating Methods Using R - Practical Guide","description":"\u003cp\u003eOur review of Applying Test Equating Methods: Using R finds it a focused, hands-on resource for applied psychometricians and assessment specialists. The book's single biggest reason to buy is its practical use of the non-commercial software \u003cstrong\u003eR\u003c\/strong\u003e to demonstrate several equating approaches with real and simulated data, which turns abstract methodology into reproducible workflows for everyday equating tasks.\u003c\/p\u003e\u003ch2\u003eKey Features\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003ePractical R examples:\u003c\/strong\u003e The book uses R packages such as equate, kequate and SNSequate to show step-by-step code and output so readers can replicate analyses.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMultiple data designs:\u003c\/strong\u003e Methods are demonstrated for equivalent groups, single group, counterbalanced, and non-equivalent groups with anchor test designs to match common testing scenarios.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eTraditional and modern methods:\u003c\/strong\u003e Coverage includes mean and linear equating, frequency estimation, chain equating, and modern approaches like kernel equating and local equating for flexibility in method choice.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eReal and simulated datasets:\u003c\/strong\u003e Examples combine simulated and authentic score data so readers can see method behavior under controlled and realistic conditions.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eHands-on methodology focus:\u003c\/strong\u003e The emphasis is on how to carry out equating in practice rather than on heavy theoretical derivations, which speeds learning for applied users.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eWho It's For\u003c\/h2\u003e\u003cp\u003eThis book is best for practicing psychometricians, assessment analysts, graduate students in educational measurement, and researchers who need concrete guidance on implementing equating procedures in R. Its applied orientation makes it suitable for those who already know basic test theory and want reproducible code and worked examples.\u003c\/p\u003e\u003cp\u003eThose seeking an exhaustive theoretical treatise or a beginner primer in statistics without prior exposure to testing concepts may want a more introductory or theory-heavy text first; this volume assumes some familiarity with equating terminology and with using R.\u003c\/p\u003e\u003ch2\u003ePros \u0026amp; Cons\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003ePros\u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eClear, reproducible R code using widely used packages that make transfer to real work straightforward.\u003c\/li\u003e\n\u003cli\u003eBroad coverage of data collection designs so readers can find examples that match their study setup.\u003c\/li\u003e\n\u003cli\u003eIncludes both traditional and modern equating techniques, offering methodological choice.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eCons\u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\u003cli\u003eThe book leans toward applied implementation and does not substitute for a deep theoretical textbook on the mathematics behind each method.\u003c\/li\u003e\u003c\/ul\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003eTitle\u003c\/td\u003e\n\u003ctd\u003eApplying Test Equating Methods: Using R\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAuthors\u003c\/td\u003e\n\u003ctd\u003eJorge Gonzalez, Marie Wiberg\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePrimary software\u003c\/td\u003e\n\u003ctd\u003eR (equate, kequate, SNSequate, others)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMethods covered\u003c\/td\u003e\n\u003ctd\u003eMean, linear, frequency estimation, chain, kernel, local equating\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eData designs\u003c\/td\u003e\n\u003ctd\u003eEquivalent groups, single group, counterbalanced, non-equivalent with anchor\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eExamples\u003c\/td\u003e\n\u003ctd\u003eSimulated and real score datasets\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\u003ch2\u003eOur Verdict\u003c\/h2\u003e\u003cp\u003eApplying Test Equating Methods: Using R is a practical, good-value resource for applied users who need reproducible equating workflows in R. It helps practitioners move from concept to implementation quickly, making it a worthwhile purchase for assessment professionals and students ready to apply equating methods to real data.\u003c\/p\u003e\u003ch2\u003eFrequently Asked Questions\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eDoes the book include code that can be run directly in R?\u003c\/strong\u003e\u003cbr\u003eYes, the text uses R packages such as equate, kequate and SNSequate with examples that readers can replicate.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhich equating designs does the book demonstrate?\u003c\/strong\u003e\u003cbr\u003eIt covers equivalent groups, single group, counterbalanced, and non-equivalent groups with anchor test designs.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eIs heavy theory required to use the examples?\u003c\/strong\u003e\u003cbr\u003eThe book emphasizes applied implementation; some prior knowledge of test theory and R is helpful but exhaustive mathematics is not mandatory.\u003c\/p\u003e","brand":"Jorge Gonzalez, Marie Wiberg","offers":[{"title":"Default Title","offer_id":48192772571355,"sku":"3319847503","price":169.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0724\/1043\/1707\/files\/61-QTXb3SlL._SL1254.jpg?v=1770191272","url":"https:\/\/gearmusthave.com\/products\/applying-test-equating-methods-using-r-practical-guide","provider":"GearMustHave","version":"1.0","type":"link"}