1. First announcement—Call for papers

   Announcement Pages: 329 - 329

2. Higher-order latent trait models for cognitive diagnosis

   • Jimmy de la Torre
   • Jeffrey A. Douglas

   Theory and Methods Pages: 333 - 353

3. The regression trunk approach to discover treatment covariate interaction

   • Elise Dusseldorp
   • Jacqueline J. Meulman

   Theory and Methods Pages: 355 - 374

4. Tucker2 hierarchical classes analysis

   • Eva Ceulemans
   • Iven Van Mechelen

   Theory and Methods Pages: 375 - 399

5. A conjunctive parallelogram model for pick any/n data

   • Iwin Leenen
   • Iven Van Mechelen

   Theory and Methods Pages: 401 - 420

6. Structural equation modeling with heavy tailed distributions

   • Ke-Hai Yuan
   • Peter M. Bentler
   • Wai Chan

   Theory and Methods Pages: 421 - 436

7. On the asymptotic distributions of two statistics for two-level covariance structure models within the class of elliptical distributions

   • Ke-Hai Yuan
   • Peter M. Bentler

   Theory and Methods Pages: 437 - 457

8. Exact distributions of intraclass correlation and Cronbach's alpha with Gaussian data and general covariance

   • Emily O. Kistner
   • Keith E. Muller

   Theory and Methods Pages: 459 - 474

9. Derivative free gradient projection algorithms for rotation

   • Robert I. Jennrich

   Theory and Methods Pages: 475 - 480

10. Model based clustering of large data sets: Tracing the development of spelling ability

    • Herbert Hoijtink
    • Annelise Notenboom

    Application Reviews And Case Studies Pages: 481 - 498

11. Reviews

    • Jim Ramsay

    BookReview Pages: 499 - 499