ESRA 2023 sessions by theme

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Session Details

It is well known that surveys have trouble measuring certain topics that are of great interest to social and behavioral scientists.

In recent years several approaches have been proposed to extend or integrate surveys with innovative data collection methods that aim to solve some of the inherent shortcomings of self-reports asked through surveys. One approach is to start with a survey, and then within the survey try to link or collect additional data. Smartphone apps and wearable devices in particular offer a promising way to collect data through a camera, microphone, motion, or location sensors that can be integrated within an app. Another approach is to collect smart survey data to integrate survey data with external sensory, factual or behavioral data after data collection. This can for example be done by linking self-report data from surveys about income to register data from governmental records. Or by asking respondents to donate data on for example their Google history data, or whatsapp call history. Here data are collected separately in surveys and other ways, and only compared and integrated during data analysis.

We are inviting abstracts for a session focusing on the measurement, data processing and data integration of surveys. Papers can focus on, but are not limited to, one or more of the following themes:
- Examples of measurement in smart surveys using smartphone apps, where data are integrated during data collection.
- Examples of measurement in smart surveys, where survey data and external data are integrated after data collection.
- Assessment of data quality using data from multiple sources (surveys and other data sources).
- Methods to integrate or fuse survey data with other data with the goal to improve measurement
- The effects of data integration on timeliness, costs and/or precision of survey estimates.
- The role of the respondent.