Big data in social and psychological science : theoretical and methodological issues
Big data presents unprecedented opportunities to understand human behavior on a large scale. It has been increasingly used in social and psychological research to reveal individual differences and group dynamics. There are a few theoretical and methodological challenges in big data research that...
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| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
2020
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/144062 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | Big data presents unprecedented opportunities to understand human
behavior on a large scale. It has been increasingly used in social and psychological
research to reveal individual differences and group dynamics. There are a few
theoretical and methodological challenges in big data research that require attention.
In this paper, we highlight four issues, namely data-driven versus theory-driven
approaches, measurement validity, multi-level longitudinal analysis, and data
integration. They represent common problems that social scientists often face in
using big data. We present examples of these problems and propose possible
solutions. |
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