Sensitivity analysis for incomplete data

Throughout empirical research, not all measurements planned are taken in actual practice. It is important to reflect on the nature and implications of such incompleteness, or missingness, and to accommodate it properly in the modeling process. When referring to the missing-value process, we will use terminology of Little and Rubin (2002, Chapter 6; see also Chapter 17 of this volume). A non-respons…