This workshop is concerned with contemporary methods for construction and development of behavioral, social, marketing, and health related measuring instruments, such as surveys, questionnaires, scales, tests, self-reports or inventories. Initially the course is concerned with the critical topic of latent structure examination using exploratory factor analysis followed by confirmatory factor analysis that are conducted on unrelated samples. “Messy” settings are then focused on, including missing data, non-normality, and/or clustering effects. Throughout the workshop, multiple empirical data examples are utilized. The software employed throughout is Mplus, but passing reference to other packages is also made on several occasions. The course is geared toward graduate students and faculty members involved in the construction, revision, and development of multiple-component measuring instruments that are widely used highly popularity in empirical behavioral, social, clinical, organizational, and marketing research.