In this workshop, participants will be introduced to modern Multitrait-Multimethod (MTMM) Analysis. After a short introduction to the concepts of convergent and discriminant validity and the original MTMM matrix as proposed by Campbell and Fiske, modern Confirmatory Factor Analysis (CFA) MTMM models will be introduced. In particular, single and multiple indicator correlated -trait correlated -uniqueness (CTCU), correlated-trait uncorrelated-methods (CTUM), correlated-trait correlated-methods minus 1 (CTC(M-1)) will be presented. These models will be introduced theoretically; empirical applications will be exemplified in up-front demonstrations. The concept of distinguishable and indistinguishable methods will be introduced in order facilitate the choice of an adequate MTMM model in a given measurement situation. Much emphasis will be given to the correct interpretation of model parameters and coefficients indicating convergent and discriminant validity (e.g., consistency and method-specificity coefficients). Extensions of CFA-MTMM models to longitudinal MTMM models and/or mixture distribution MTMM models will be briefly sketched. Participants should be familiar with basic concepts of Factor Analysis.