The Expected Parameter Change (EPC) for local dependence assessment in binary data latent class models

Daniel L. Oberski, Jeroen K. Vermunt

Research output: Working paperScientific

12 Downloads (Pure)

Abstract

Binary data latent class models crucially assume local independence, violations of which can seriously bias the results. We present two tools for monitoring local dependence in binary data latent class models: the "Expected Parameter Change" (EPC) and a generalized EPC, estimating the substantive size and direction of possible local dependencies. The asymptotic and finite sample behavior of the measures is studied, and two applications to the U.S. Census estimation of Hispanic ethnicity and medical experts' ratings of x-rays demonstrate its value in arriving at a model that balances realism and parsimony.
Original languageEnglish
Publication statusPublished - 2018

Keywords

  • stat.ME

Fingerprint

Dive into the research topics of 'The Expected Parameter Change (EPC) for local dependence assessment in binary data latent class models'. Together they form a unique fingerprint.

Cite this