Big data for use in psychological research
Editorial
- Autores:
-
Cuartas Arias, Jorge Mauricio
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2016
- Institución:
- Universidad de San Buenaventura
- Repositorio:
- Repositorio USB
- Idioma:
- eng
- OAI Identifier:
- oai:bibliotecadigital.usb.edu.co:10819/25793
- Acceso en línea:
- https://hdl.handle.net/10819/25793
https://doi.org/10.21500/20112084.2828
- Palabra clave:
- Big data
psychological research.
- Rights
- openAccess
- License
- International Journal of Psychological Research - 2017
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Cuartas Arias, Jorge Mauricio2017-01-01T00:00:00Z2025-07-31T16:11:55Z2017-01-01T00:00:00Z2025-07-31T16:11:55Z2016-01-01Editorialapplication/pdf10.21500/20112084.28282011-79222011-2084https://hdl.handle.net/10819/25793https://doi.org/10.21500/20112084.2828engUniversidad San Buenaventura - USB (Colombia)https://revistas.usb.edu.co/index.php/IJPR/article/download/2828/2450Núm. 1 , Año 2017 : Vol 10 (1)71610International Journal of Psychological ResearchChen, E. E., & Wojcik, S. P. (2016). A practical guide to big data research in psychology [Journal Article]. Psychol Methods, 21(4), 458-474. doi: 10.1037/met0000111 eMarketer. (2017). Home to research and data on nearly every digital topic (No. January 5th 2017). Retrieved from https://www.emarketer.com/ Kern, M. L., Eichstaedt, J., Schwartz, H. A., Park, G., Ungar, L. H., Stillwell, D. J., . . . Seligman, M. E. (2014). From ”sooo excited!!!” to ”so proud”: using language to study development. Dev Psychol, 50(1), 178-88. doi: 10.1037/a0035048 Kosinski, M., Wang, Y., Lakkaraju, H., & Leskovec, J. (2016). Mining big data to extract patterns and predict reallife outcomes. Psychol Methods, 21(4), 493-506. doi: 10.1037/met0000105 Markowetz, A., Blaszkiewicz, K., Montag, C., Switala, C., & Schlaepfer, T. E. (2014). Psycho-informatics: Big data shaping modern psychometrics. Med Hypotheses, 82(4), 405-411. doi: 016/j.mehy.2013.11.030International Journal of Psychological Research - 2017info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2https://creativecommons.org/licenses/by-nc-sa/4.0/https://revistas.usb.edu.co/index.php/IJPR/article/view/2828Big datapsychological research.Big data for use in psychological researchBig data for use in psychological researchArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_970fb48d4fbd8a85Textinfo:eu-repo/semantics/articleJournal articleinfo:eu-repo/semantics/publishedVersionPublicationOREORE.xmltext/xml2467https://bibliotecadigital.usb.edu.co/bitstreams/6a36633f-3c11-4d07-a875-b3e2e63e1ba6/download104b2890c9216f753f90bb2884530946MD5110819/25793oai:bibliotecadigital.usb.edu.co:10819/257932025-07-31 11:11:55.147https://creativecommons.org/licenses/by-nc-sa/4.0/https://bibliotecadigital.usb.edu.coRepositorio Institucional Universidad de San Buenaventura Colombiabdigital@metabiblioteca.com |
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Big data for use in psychological research |
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Big data for use in psychological research |
| title |
Big data for use in psychological research |
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Big data for use in psychological research Big data psychological research. |
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Big data for use in psychological research |
| title_full |
Big data for use in psychological research |
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Big data for use in psychological research |
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Big data for use in psychological research |
| title_sort |
Big data for use in psychological research |
| dc.creator.fl_str_mv |
Cuartas Arias, Jorge Mauricio |
| dc.contributor.author.eng.fl_str_mv |
Cuartas Arias, Jorge Mauricio |
| dc.subject.eng.fl_str_mv |
Big data psychological research. |
| topic |
Big data psychological research. |
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Editorial |
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2016 |
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2016-01-01 |
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2017-01-01T00:00:00Z 2025-07-31T16:11:55Z |
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2017-01-01T00:00:00Z 2025-07-31T16:11:55Z |
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Núm. 1 , Año 2017 : Vol 10 (1) |
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International Journal of Psychological Research |
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Chen, E. E., & Wojcik, S. P. (2016). A practical guide to big data research in psychology [Journal Article]. Psychol Methods, 21(4), 458-474. doi: 10.1037/met0000111 eMarketer. (2017). Home to research and data on nearly every digital topic (No. January 5th 2017). Retrieved from https://www.emarketer.com/ Kern, M. L., Eichstaedt, J., Schwartz, H. A., Park, G., Ungar, L. H., Stillwell, D. J., . . . Seligman, M. E. (2014). From ”sooo excited!!!” to ”so proud”: using language to study development. Dev Psychol, 50(1), 178-88. doi: 10.1037/a0035048 Kosinski, M., Wang, Y., Lakkaraju, H., & Leskovec, J. (2016). Mining big data to extract patterns and predict reallife outcomes. Psychol Methods, 21(4), 493-506. doi: 10.1037/met0000105 Markowetz, A., Blaszkiewicz, K., Montag, C., Switala, C., & Schlaepfer, T. E. (2014). Psycho-informatics: Big data shaping modern psychometrics. Med Hypotheses, 82(4), 405-411. doi: 016/j.mehy.2013.11.030 |
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