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Activity Number: 288
Type: Contributed
Date/Time: Tuesday, August 5, 2014 : 8:30 AM to 10:20 AM
Sponsor: Survey Research Methods Section
Abstract #312271 View Presentation
Title: Automated Survey Coding for German Occupations
Author(s): Malte Schierholz*+
Companies:
Keywords: coding ; occupation ; questionnaire design
Abstract:

Currently, most surveys ask for occupation with open-ended questions. The verbatim responses are coded afterwards into a classification with hundreds of categories and thousands of jobs, which is an error-prone, time-consuming and costly task. Our goal is to facilitate survey coding using machine learning methods. The idea is to use answers that were coded before to predict correct codes for new answers. Our method allows for further covariates in addition to the verbatim answer. We also account for the limited size of available training data. Performance is further improved when information from a dictionary is included. The proposed algorithms can be used for automated coding without human interaction but we expect it to be most helpful for computer-assisted coding.


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