"Useful to scholars and students in the fields of psychological and educational research ... this [book] would serve as a good text for an advanced item response theory course. ... The editors have done an excellent job of assembling authors with expertise in a variety of areas within item response modeling. ... I think ... this book would be purchased by many." - Leah Walker McGuire, University of Minnesota - Twin Cities, USA "This book fills a gap not already filled by other texts because of the breadth of topics and inclusion of newer research. Many of the chapters deal with multidimensionality which is clearly the future of IRT and less apparent in existing IRT texts...I would buy it for personal use and recommend it to other researchers and to my graduate students. ... It will make a significant contribution to the field." Carol Woods, University of Kansas, USA "The editors have done a good job trying to capture most important, if not all, aspects related to item response theory modeling and its application. ... One unique contribution is the use of data collected from the Patient-Reported Outcome Measurement Information System (PROMIS) network. ... The [book] provide(s)... theoretical advancements ... to innovative applications. " - Chu-Hung Chang, Northwestern University Feinberg School of Medicine, USA
作者简介：
Steven P. Reise is a full professor in Quantitative Psychology at UCLA. Dennis A. Revicki is Senior Vice President of Health Outcomes Research at Evidera and an adjunct professor at the University of North Carolina, University of Florida, and Georgetown University.
目录： Part 1: Fundamental Issues in Item Response Theory
1. Introduction: Age-Old Problems and Modern Solutions S.P. Reise, D.A. Revicki
2. Evaluating the Impact of Multidimensionality on Unidimensional Item Response Theory Model Parameters S.P. Reise, K.F. Cook, T.M. Moore
3. Modern Approaches to Parameter Estimation in Item Response Theory L. Cai, D. Thissen
4. Estimating the Latent Density in Unidimensional IRT to Permit Nonnormality C.M. Woods
5. The Use of Nonparametric Item Response Theory to Explore Data Quality R.R. Meijer, J.N. Tendeiro, R.B. K. Wanders
6. Evaluating the Fit of IRT models A. Maydeu-Olivares
7. Assessing Person Fit in Typical-Response Measures P. J. Ferrando Part 2: Classic and Emerging IRT Modeling Approaches
8. Three (or Four) Factors, Four (or Three) Models M.C. Edwards, R. J. Wirth, C.R. Houts, A.J. Bodine
9. Using Hierarchical IRT Models to Create Unidimensional Measures from Multidimensional Data B.D. Stucky, M.O. Edelen
10. An Illustration of the Two-Tier Item Factor Analysis Model W.E. Bonifay
11. Using Projected Locally Dependent Unidimensional Models to Measure Multidimensional Response Data E.H. Ip, S. Chen
12. Multidimensional Explanatory Item Response Modeling P.D. Boeck, M. Wilson
13. Unipolar Item Response Models J.F. Lucke
14. Selecting Among Polytomous IRT Models R. Ostini, M. Finkelman, M. Nering Part 3: Using IRT Models in Applied Problems
15. Scoring and Estimating Score Precision Using Multidimensional IRT Models A. Brown, T.J. Croudace 16. Developing Item Banks for Patient-Reported Health Outcomes D.A. Revicki, W. Chen, C. Tucker
17. Using Item Response Theory to Evaluate Measurement Invariance in Health-Related Measures R.E. Millsap, H. Gunn, H.T. Everson, A. Zautra
18. Detecting Faulty Within-Item Category Functioning with the Nominal Response Model K.S. J. Preston, S.P. Reise
19. Multidimensional Test Linking J.P. Weeks
20. IRT for Growth and Change J.J. McArdle, K.T. Petway, E.S. Hishinuma
21. Summary: New IRT Problems and Future Directions S.P. Reise, D.A. Revicki
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