Fundamentals of Item Response Theory, Volume 2By using familiar concepts from classical measurement methods and basic statistics, this book introduces the basics of item response theory (IRT) and explains the application of IRT methods to problems in test construction, identification of potentially biased test items, test equating and computerized-adaptive testing. The book also includes a thorough discussion of alternative procedures for estimating IRT parameters and concludes with an exploration of new directions in IRT research and development. |
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Fundamentals of Item Response Theory Ronald K. Hambleton,Hariharan Swaminathan,H. Jane Rogers Limited preview - 1991 |
Common terms and phrases
ability estimates ability level ability scale ability score ability values adaptive testing administered applications Applied Psychological Measurement assessing assumption Bayesian chi-square chi-square statistic classical test theory common items correct response criterion-referenced test cut-off score determine difficulty parameter difficulty values Educational Measurement equating examinee's ability example Exercises for Chapter fits the data groups of examinees Hambleton hence ICCs IRT models item and ability item bank item characteristic curves item characteristic functions item difficulty item indices item information functions item parameter estimates item response model item response theory Journal of Educational likelihood function linear logistic model Lord maximum likelihood estimates model fits model-data fit number of items obtained one-parameter model Plot probability Rasch model regression sample set of items standard deviation standard error standardized residuals Swaminathan test data test information function test items test scores three-parameter model transformation true score two-parameter model unidimensionality variance-covariance matrix