Research Byte: Dealing With Missing Data in Developmental Research

PT J
AU Enders, CK
AF Enders, Craig K.
TI Dealing With Missing Data in Developmental Research
SO CHILD DEVELOPMENT PERSPECTIVES
AB Approaches to handling missing data have improved dramatically in recent
years and researchers can now choose from a variety of sophisticated
analysis options. The methodological literature favors maximum
likelihood and multiple imputation because these approaches offer
substantial improvements over older approaches, including a strong
theoretical foundation, less restrictive assumptions, and the potential
for bias reduction and greater power. These benefits are especially
important for developmental research where attrition is a pervasive
problem. This article provides a brief introduction to modern methods
for handling missing data and their application to developmental
research.
PD MAR
PY 2013
VL 7
IS 1
BP 27
EP 31
ER