Big data in social and psychological science : theoretical and methodological issues

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: Qiu, Lin, Chan, Sarah Hian May, Chan, David
Other Authors: School of Social Sciences
Format: Article
Language:English
Published: 2020
Subjects:
Social sciences::Psychology
Big Data
Computational Social Science
Online Access:https://hdl.handle.net/10356/144062
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Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-144062
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spelling sg-ntu-dr.10356-1440622020-10-12T06:15:20Z Big data in social and psychological science : theoretical and methodological issues Qiu, Lin Chan, Sarah Hian May Chan, David School of Social Sciences Social sciences::Psychology Big Data Computational Social Science 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. Accepted version 2020-10-12T06:15:19Z 2020-10-12T06:15:19Z 2017 Journal Article Qiu, L., Chan, S. H. M., & Chan, D. (2018). Big data in social and psychological science : theoretical and methodological issues. Journal of Computational Social Science, 1(1), 59-66. doi:10.1007/s42001-017-0013-6 2432-2717 https://hdl.handle.net/10356/144062 10.1007/s42001-017-0013-6 1 1 59 66 en Journal of Computational Social Science © 2017 Springer Nature Sinagapore Pte Ltd. This is a post-peer-review, pre-copyedit version of an article published in Journal of Computational Social Science. The final authenticated version is available online at: http://dx.doi.org/10.1007/s42001-017-0013-6. application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic Social sciences::Psychology
Big Data
Computational Social Science
spellingShingle Social sciences::Psychology
Big Data
Computational Social Science
Qiu, Lin
Chan, Sarah Hian May
Chan, David
Big data in social and psychological science : theoretical and methodological issues
description 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.
author2 School of Social Sciences
author_facet School of Social Sciences
Qiu, Lin
Chan, Sarah Hian May
Chan, David
format Article
author Qiu, Lin
Chan, Sarah Hian May
Chan, David
author_sort Qiu, Lin
title Big data in social and psychological science : theoretical and methodological issues
title_short Big data in social and psychological science : theoretical and methodological issues
title_full Big data in social and psychological science : theoretical and methodological issues
title_fullStr Big data in social and psychological science : theoretical and methodological issues
title_full_unstemmed Big data in social and psychological science : theoretical and methodological issues
title_sort big data in social and psychological science : theoretical and methodological issues
publishDate 2020
url https://hdl.handle.net/10356/144062
_version_ 1681057176080089088

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