Found: 19
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Engaging Social Science Students with Statistics: Opportunities, Challenges and Barriers.
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- Numeracy: Advancing Education in Quantitative Literacy, 2021, v. 14, n. 2, p. 1
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- Article
Informed consent for linking survey and social media data - Differences between platforms and data types.
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- IASSIST Quarterly, 2021, v. 45, n. 1, p. 1, doi. 10.29173/iq988
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- Publication type:
- Article
Towards an Ethical Framework for Publishing Twitter Data in Social Research: Taking into Account Users’ Views, Online Context and Algorithmic Estimation.
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- Sociology, 2017, v. 51, n. 6, p. 1149, doi. 10.1177/0038038517708140
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- Article
Can’t Count or Won’t Count? Embedding Quantitative Methods in Substantive Sociology Curricula: A Quasi-Experiment.
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- Sociology, 2016, v. 50, n. 3, p. 435, doi. 10.1177/0038038515587652
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- Publication type:
- Article
CRIME SENSING WITH BIG DATA: THE AFFORDANCES AND LIMITATIONS OF USING OPEN-SOURCE COMMUNICATIONS TO ESTIMATE CRIME PATTERNS.
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- Nucleic Acids Research, 2017, v. 45, n. 4, p. 320, doi. 10.1093/bjc/azw031
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- Article
Examining household effects on individual Twitter adoption: A multilevel analysis based on U.K. household survey data.
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- PLoS ONE, 2024, v. 19, n. 1, p. 1, doi. 10.1371/journal.pone.0297036
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- Publication type:
- Article
Young people's online communication and its association with mental well‐being: results from the 2019 student health and well‐being survey.
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- Child & Adolescent Mental Health, 2023, v. 28, n. 1, p. 4, doi. 10.1111/camh.12610
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- Publication type:
- Article
Who Tweets with Their Location? Understanding the Relationship between Demographic Characteristics and the Use of Geoservices and Geotagging on Twitter.
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- PLoS ONE, 2015, v. 10, n. 10, p. 1, doi. 10.1371/journal.pone.0142209
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- Publication type:
- Article
Who Tweets? Deriving the Demographic Characteristics of Age, Occupation and Social Class from Twitter User Meta-Data.
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- PLoS ONE, 2015, v. 10, n. 3, p. 1, doi. 10.1371/journal.pone.0115545
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- Article
Independent: The Rise of the Non-aligned Politician - By Richard Berry.
- Published in:
- 2012
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- Publication type:
- Book Review
Who Tweets in the United Kingdom? Profiling the Twitter Population Using the British Social Attitudes Survey 2015.
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- Social Media + Society, 2017, v. 3, n. 1, p. 1, doi. 10.1177/2056305117698981
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- Publication type:
- Article
CRIME SENSING WITH BIG DATA: THE AFFORDANCES AND LIMITATIONS OF USING OPEN-SOURCE COMMUNICATIONS TO ESTIMATE CRIME PATTERNS.
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- British Journal of Criminology, 2017, v. 57, n. 2, p. 320, doi. 10.1093/bjc/azw031
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- Publication type:
- Article
Linking Twitter and Survey Data: The Impact of Survey Mode and Demographics on Consent Rates Across Three UK Studies.
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- Social Science Computer Review, 2020, v. 38, n. 5, p. 517, doi. 10.1177/0894439319828011
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- Article
David Plowright, Using Mixed Methods and Yoland Wadsworth, Do It Yourself Social Research and Yoland Wadsworth, Building in Research and Evaluation.
- Published in:
- 2013
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- Publication type:
- Journal Article
Who Is Citing Whom in Social Work? A Response to Hodge, Lacasse and Benson.
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- British Journal of Social Work, 2012, v. 42, n. 8, p. 1626, doi. 10.1093/bjsw/bcs190
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- Publication type:
- Article
Linking Twitter and survey data: asymmetry in quantity and its impact.
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- EPJ Data Science, 2021, v. 10, n. 1, p. 1, doi. 10.1140/epjds/s13688-021-00286-7
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- Publication type:
- Article
Linking Survey and Twitter Data: Informed Consent, Disclosure, Security, and Archiving.
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- Journal of Empirical Research on Human Research Ethics, 2020, v. 15, n. 1/2, p. 63, doi. 10.1177/1556264619853447
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- Publication type:
- Article
Epicosm—a framework for linking online social media in epidemiological cohorts.
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- International Journal of Epidemiology, 2023, v. 52, n. 3, p. 952, doi. 10.1093/ije/dyad020
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- Publication type:
- Article
Increases in Serious Psychological Distress among Ontario Students between 2013 and 2017: Assessing the Impact of Time Spent on Social Media.
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- Canadian Journal of Psychiatry, 2021, v. 66, n. 8, p. 747, doi. 10.1177/0706743720987902
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- Article