1. Old and New Approaches to Latent Variable Modelling / David J. Bartholomew
2. Locating 'Don't Know', 'No Answer' and Middle Alternatives on an Attitude Scale: A Latent Variable Approach / Irini Moustaki and Colm O'Muircheartaigh
3. Hierarchically Related Nonparametric IRT Models, and Practical Data Analysis Methods / L. Andries van der Ark, Bas T. Hemker and Klaas Sijtsma
4. Fully Semiparametric Estimation of the Two-Parameter Latent Trait Model for Binary Data / Panagiota Tzamourani and Martin Knott
5. Analysing Group Differences: A Comparison of SEM Approaches / Pilar Rivera and Albert Satorra
6. Strategies for Handling Missing Data in SEM: A User's Perspective / Richard D. Wiggins and Amanda Sacker
7. Exploring Structural Equation Model Misspecifications via Latent Individual Residuals / Tenko Raykov and Spirinov Penev
8. On Confidence Regions of SEM Models / Jian-Qing Shi, Sik-Yum Lee and Bo-Cheng Wei
9. Robust Factor Analysis: Methods and Applications / Peter Filzmoser
10. Using Predicted Latent Scores in General Latent Structure Models / Marcel Croon
11. Multilevel Factor Analysis Modelling Using Markov Chain Monte Carlo Estimation / Harvey Goldstein and William Browne
12. Modelling Measurement Error in Structural Multilevel Models / Jean-Paul Fox and Cees A. W. Glas.
