Fundamentals of Item Response TheorySAGE Publications, 23 Jul 1991 - 184 halaman Using familiar concepts from classical measurement methods and basic statistics, Hambleton and colleagues introduce the basics of item response theory (IRT) and explain 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, such as maximum likelihood estimation, marginal maximum likelihood estimation, and Bayesian estimation in such a way that the reader does not need any knowledge of calculus to follow these explanations. Including step-by-step numerical examples throughout, the book concludes with an exploration of new directions in IRT research and development. |
Isi
| 1 | |
Chapter 2 Concepts Models and Features | 7 |
Chapter 3 Ability and Item Parameter Estimation | 32 |
Chapter 4 Assessment of ModelData Fit | 53 |
Chapter 5 The Ability Scale | 77 |
Chapter 6 Item and Test Information and Efficiency Functions | 91 |
Chapter 7 Test Construction | 99 |
Chapter 8 Identification of Potentially Biased Test Items | 109 |
Chapter 9 Test Score Equating | 123 |
Edisi yang lain - Lihat semua
Fundamentals of Item Response Theory, Volume 2 Ronald K. Hambleton,Hariharan Swaminathan,H. Jane Rogers Pratinjau terbatas - 1991 |
Fundamentals of Item Response Theory, Volume 2 Ronald K. Hambleton,Hariharan Swaminathan,H. Jane Rogers Pratinjau terbatas - 1991 |
Istilah dan frasa umum
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 Figure 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 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