Abstract

Paradata have become increasingly popular in recent years as a tool for assessing interviewer behavior, controlling questionnaire functionality, and monitoring the field phase. Most of these monitoring and quality control checks are under the control of the contracted survey institute and outside the control of the researchers or study sponsors. To provide more transparency during the field phase and to allow researchers and sponsors to monitor the work of the survey institute, as well as to perform their own quality checks and play a more active role in the data collection process, the use of researcher-oriented dashboards is a viable option. We have created a dashboard for the IAB Establishment Panel using Shiny Dashboards in the R software. Within this dashboard, it is possible to monitor the current field phase and use a number of different indicators to monitor interviewer performance to identify potential problems, such as non-functioning questions in the questionnaire or suspiciously short interview/screen times. In our presentation, we will present a selection of indicators and charts used to analyze the field phase, case studies that show where these indicators identified potential problems with data collection, and other useful aspects of Shiny Dashboards, as well as lessons learned in developing the dashboard.