Increased availability of administrative data provides evaluators, health service and intervention researchers with more options for answering questions about the effectiveness, efficiency, and quality of publicly funded programs and services. The purpose of this one day workshop is to explore the promise and pitfalls of using administrative data in evaluations. The workshop is intended for researchers, evaluators, and health service practitioners who are interested in learning about the practicalities of using administrative data to answer evaluation questions.

During this one day workshop, participants will increase their understanding of the types of questions that can be answered through administrative data, explore the strengths and limitations of using administrative data in evaluations, and appreciate the considerations for using administrative data. Through the examination of a case study, participants will also hear about lessons learned, success factors, and best practices for using administrative data in evaluations.

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This five-day intensive course will focus on the practical application of latent variable modeling with specific applications for health and social science researchers. Mornings will consist of a series of lectures and computer demonstrations covering the theory and practice of latent variable modeling methods. Afternoons will include hands-on applications of specific data analysis techniques. Participants will learn how to apply specific modeling methods in the development of instruments, measures and survey designs. Topics include: factor analysis (FA) including item response models via FA, multi-group FA, and mixture latent class models.

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Building on the success of the 2012 Perth conference, we are pleased to announce the date and location for the 2nd International Health Data Linkage Conference: April 28-30, 2014 in Vancouver, BC, Canada. 

PopData are hosting the conference in our role as director of the International Health Data Linkage Network.

Details regarding registration and abstract submission will be forthcoming in the Spring.