000			02083nam a22002537a 4500
999			_c4162 _d4162
005			20221013144136.0
008			221013b ||||| |||| 00| 0 eng d
020			_a9781506384252
082			_a155.284 _bBON
100			_aBonifay, Wes _99361
245			_aMultidimensional item response theory
260			_bSage Publications, Inc. _aCalifornia _c2020
300			_axiii, 138 p.
365			_aUSD _b30.00
490			_aQuantitative Applications in the Social Sciences
504			_aTable of content 1. Introduction 2. Unidimensional Item Response Theory 3. MIRT Models for Dichotomous Data 4. MIRT Models for Polytomous Data 5. Descriptive MIRT Statistics 6. Item Factor Structures 7. Estimation in MIRT Models 8. MIRT Model Diagnostics and Evaluation 9. MIRT Applications
520			_aSeveral decades of psychometric research have led to the development of sophisticated models for multidimensional test data, and in recent years, multidimensional item response theory (MIRT) has become a burgeoning topic in psychological and educational measurement. Considered a cutting-edge statistical technique, the methodology underlying MIRT can be complex, and therefore doesn’t receive much attention in introductory IRT courses. However author Wes Bonifay shows how MIRT can be understood and applied by anyone with a firm grounding in unidimensional IRT modeling. His volume includes practical examples and illustrations, along with numerous figures and diagrams. Multidimensional Item Response Theory includes snippets of R code interspersed throughout the text (with the complete R code included on an accompanying website) to guide readers in exploring MIRT models, estimating the model parameters, generating plots, and implementing the various procedures and applications discussed throughout the book.
650			_aPsychometrics _97701
650			_aProjective techniques _99660
650			_aItem response theory _99661
650			_aMultidimensional scaling _99662
650			_aEducational tests and measurements _93805
942			_2ddc _cBK