Collecting Paradata for Measurement Error Evaluations

Abstract

Paradata can be collected at a variety of levels, resulting in a complex, hierarchical data structure. This chapter describes a wide variety of types of paradata, the kinds of paradata available by mode, and some of the challenges involved in turning paradata into analytic variables. These paradata include automatically captured timing data, keystroke data, and mouse click data, and researcher-designed behavior codes, vocal characteristics, and interviewer evaluations. Measurement-error-related paradata can be collected at four levels of aggregation— the survey level, the section level, the question level, and the action level. The types of paradata that can be captured vary by mode of data collection, driven largely by the software being used for data collection and the people who are interacting with the survey instrument, that is, interviewer or respondent.

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