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.

• 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

"The discussion of several crucial IRT concepts and method with a focus on TPAs, which offers multiple perspectives on a broad topic, would be immensely helpful to the intended audience. Most chapters of this book are reader friendly while providing quite exhaustive coverage of important IRT concepts. Most of the authors are world-renowned experts on the topics in their chapters. The quality of the real data examples in this volume is impressive. […]To summarize, this volume would be a great resource to anyone interested in applications of IRT models and methods to TPAs and inspire the readers to extend the existing theories and methods on the area." – Sandip Sinharay, Pacific Metrics Corporation, Monterey, USA"Reise and Revicki have amassed an outstanding set of contributors to provide what will likely become a seminal reference volume for graduate students and researchers working with IRT methods. The chapters offer summaries of the latest advances and current issues surrounding applications of IRT modeling. I will include many of the chapters in teaching my IRT course." – Lynne Steinberg, University of Houston, USA"By focusing on concept over questionnaire, IRT is transforming health status assessment. Written by the people moving this field forward, this book’s excellent reviews frame recent practical advances in IRT modeling and linking applications that will help secure the transformation." – David Cella, Northwestern University, USA"This handbook written by leading scholars in the field of typical performance assessment has both depth and coverage. I am confident that this book will be an invaluable resource for researchers and an excellent textbook for graduate students in psychometrics." – Wilco Emons, Tilburg University, The Netherlands"This handbook assembled a team of internationally-recognized psychometricians to provide an authoritative source on the application of IRT to many of the measurement issues we face today. I recommend this book to all researchers seeking guidance on applying IRT models to handle complex data problems." – Bryce B. Reeve, University of North Carolina at Chapel Hill, USA"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. ....I would 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"Most chapters of this book are reader friendly while providing quite exhaustive coverage of important IRT concepts. Most of the authors are world-renowned experts on the topics of their chapters. The quality of the real data examples in this volume is impressive. To summarize, this volume would be a great resource for anyone itnerested in applications of IRT models and methods to TPAs and inspire the readers to extend the existing theories and methods on the area." --Sandip Sinharay, Pacific Metrics Corporation, USA, Applied Psychological Measurement 2015

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.

• 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

"The discussion of several crucial IRT concepts and method with a focus on TPAs, which offers multiple perspectives on a broad topic, would be immensely helpful to the intended audience. Most chapters of this book are reader friendly while providing quite exhaustive coverage of important IRT concepts. Most of the authors are world-renowned experts on the topics in their chapters. The quality of the real data examples in this volume is impressive. […]To summarize, this volume would be a great resource to anyone interested in applications of IRT models and methods to TPAs and inspire the readers to extend the existing theories and methods on the area." – Sandip Sinharay, Pacific Metrics Corporation, Monterey, USA"Reise and Revicki have amassed an outstanding set of contributors to provide what will likely become a seminal reference volume for graduate students and researchers working with IRT methods. The chapters offer summaries of the latest advances and current issues surrounding applications of IRT modeling. I will include many of the chapters in teaching my IRT course." – Lynne Steinberg, University of Houston, USA"By focusing on concept over questionnaire, IRT is transforming health status assessment. Written by the people moving this field forward, this book’s excellent reviews frame recent practical advances in IRT modeling and linking applications that will help secure the transformation." – David Cella, Northwestern University, USA"This handbook written by leading scholars in the field of typical performance assessment has both depth and coverage. I am confident that this book will be an invaluable resource for researchers and an excellent textbook for graduate students in psychometrics." – Wilco Emons, Tilburg University, The Netherlands"This handbook assembled a team of internationally-recognized psychometricians to provide an authoritative source on the application of IRT to many of the measurement issues we face today. I recommend this book to all researchers seeking guidance on applying IRT models to handle complex data problems." – Bryce B. Reeve, University of North Carolina at Chapel Hill, USA"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. ....I would 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"Most chapters of this book are reader friendly while providing quite exhaustive coverage of important IRT concepts. Most of the authors are world-renowned experts on the topics of their chapters. The quality of the real data examples in this volume is impressive. To summarize, this volume would be a great resource for anyone itnerested in applications of IRT models and methods to TPAs and inspire the readers to extend the existing theories and methods on the area." --Sandip Sinharay, Pacific Metrics Corporation, USA, Applied Psychological Measurement 2015

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.

• 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

"The discussion of several crucial IRT concepts and method with a focus on TPAs, which offers multiple perspectives on a broad topic, would be immensely helpful to the intended audience. Most chapters of this book are reader friendly while providing quite exhaustive coverage of important IRT concepts. Most of the authors are world-renowned experts on the topics in their chapters. The quality of the real data examples in this volume is impressive. […]To summarize, this volume would be a great resource to anyone interested in applications of IRT models and methods to TPAs and inspire the readers to extend the existing theories and methods on the area." – Sandip Sinharay, Pacific Metrics Corporation, Monterey, USA"Reise and Revicki have amassed an outstanding set of contributors to provide what will likely become a seminal reference volume for graduate students and researchers working with IRT methods. The chapters offer summaries of the latest advances and current issues surrounding applications of IRT modeling. I will include many of the chapters in teaching my IRT course." – Lynne Steinberg, University of Houston, USA"By focusing on concept over questionnaire, IRT is transforming health status assessment. Written by the people moving this field forward, this book’s excellent reviews frame recent practical advances in IRT modeling and linking applications that will help secure the transformation." – David Cella, Northwestern University, USA"This handbook written by leading scholars in the field of typical performance assessment has both depth and coverage. I am confident that this book will be an invaluable resource for researchers and an excellent textbook for graduate students in psychometrics." – Wilco Emons, Tilburg University, The Netherlands"This handbook assembled a team of internationally-recognized psychometricians to provide an authoritative source on the application of IRT to many of the measurement issues we face today. I recommend this book to all researchers seeking guidance on applying IRT models to handle complex data problems." – Bryce B. Reeve, University of North Carolina at Chapel Hill, USA"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. ....I would 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"Most chapters of this book are reader friendly while providing quite exhaustive coverage of important IRT concepts. Most of the authors are world-renowned experts on the topics of their chapters. The quality of the real data examples in this volume is impressive. To summarize, this volume would be a great resource for anyone itnerested in applications of IRT models and methods to TPAs and inspire the readers to extend the existing theories and methods on the area." --Sandip Sinharay, Pacific Metrics Corporation, USA, Applied Psychological Measurement 2015