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Using Attributes of Survey Items to Predict Response Times May Benefit Survey Research
General Information
Title
Using Attributes of Survey Items to Predict Response Times May Benefit Survey Research
Author
, Haomiao Jin, Bart Orriens, Doerte U. Junghaenel, Arie Kapteyn, Erik Meijer, Arthur A. Stone
Publication Type
Journal paper
Outlet
Field Methods
Year
2022
Abstract
Researchers have become increasingly interested in response times to survey items as a measure of cognitive effort. We used machine learning to develop a prediction model of response times based on 41 attributes of survey items (e.g., question length, response format, linguistic features) collected in a large, general population sample. The developed algorithm can be used to derive reference values for expected response times for most commonly used survey items.