One of the most salient data problems empirical researchers face is the lack of informative responses in survey data. This contribution briefly surveys the literature on item nonresponse behavior and its de- terminants before it describes four approaches to address item nonre- sponse problems: Casewise deletion of observations, weighting, imputa- tion, and model-based procedures. We describe the basic approaches, their strengths and weaknesses and illustrate their effects using a simu- lation study. The paper concludes with recommendations for the applied researcher.
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