Contextualizing connectivity: how internet connection type and parental factors influence technology use among lower-income children

References

• Anderson, M., & Perrin, A. (2016). 13% of Americans don’t use the internet. Who are they? Pew Research Center. Retrieved from http://www.pewresearch.org/fact-tank/2016/09/07/some-americans-dont-use-the-internet-who-are-they/
   Google Scholar
• Baym, N. (2010). Personal connections in the digital age. London: Polity.
   Google Scholar
• Berríos-Valenzuela, L., Buxarrais-Estrada, M. R., & Garcés, M. S. (2015). ICT use and parental mediation perceived by Chilean children. Comunicar, 23(45), 161–168. doi: 10.3916/C45-2015-17
   Web of Science ®Google Scholar
• Clark, L. S. (2011). Parental mediation theory for the digital age. Communication Theory, 21(4), 323–343. doi: 10.1111/j.1468-2885.2011.01391.x
   Web of Science ®Google Scholar
• Dailey, D., Bryne, A., Powell, A., Karaganis, J., & Chung, J. (2010). Broadband adoption in low-income communities (Social Science Research Council). Retrieved from http://www.ssrc.org/publications/view/1EB76F62-C720-DF11-9D32-001CC477EC70/
   Google Scholar
• Eastin, M. S., & LaRose, R. (2000). Internet self-efficacy and the psychology of the digital divide. Journal of Computer-mediated Communication, 6(1), doi: 10.1111/j.1083-6101.2000.tb00110.x
   Google Scholar
• Gonzales, A. (2014). Health benefits and barriers to cell phone use in low-income urban US neighborhoods: Indications of technology maintenance. Mobile Media & Communication, 2(3), 233–248. doi: 10.1177/2050157914530297
   Web of Science ®Google Scholar
• Gonzales, A. (2016). The contemporary US digital divide: From initial access to technology maintenance. Information, Communication & Society, 19(2), 234–248. doi: 10.1080/1369118X.2015.1050438
   Web of Science ®Google Scholar
• Gonzalez, C., & Katz, V.S. (2016). Transnational communication as a driver of technology adoption in immigrant families. International Journal of Communication, 10, 2683–2703.
   Web of Science ®Google Scholar
• Gordo, B. (2015). Roads and roadblocks to digital inclusion: An analysis of a public policy program in California. In L. Robinson, S.R. Cotten, J. Schulz, T.M. Hale, & A. Williams (Eds.), Communication and information technologies annual: Digital distinctions and inequalities (pp. 235–288). Bingley: Emerald.
   Google Scholar
• Hampton, K. N. (2010). Internet use and the concentration of disadvantage: Glocalization and the urban underclass. American Behavioral Scientist, 53, 1111–1132. doi: 10.1177/0002764209356244
   Web of Science ®Google Scholar
• Hargittai, E. (2002). Second-level digital divide: Differences in people’s online skills. First Monday. Retrieved from http://firstmonday.org/article/view/942/864
   Google Scholar
• Helsper, E., & van Deursen, A. J. (2016). Do the rich get digitally richer?: Quantity and quality of support for digital engagement. Information, Communication & Society. Advance online publication. doi: 10.1080/1369118X.2016.1203454
   PubMed Web of Science ®Google Scholar
• Horrigan, J. (2014). Schools and broadband speeds: An analysis of gaps in access to high-speed internet for African American, Latino, low-income, and rural students. Retrieved from http://apps.fcc.gov/ecfs/document/view?id=60000978758
   Google Scholar
• Howard, S. K., Ma, J., & Yang, J. (2016). Student rules: Exploring patterns of students’ computer-efficacy and engagement with digital technologies in learning. Computers & Education, 101, 29–42. doi: 10.1016/j.compedu.2016.05.008
   Web of Science ®Google Scholar
• Jiang, Y., Granja, M. R., & Koball, H. (2017). Basic facts about low-income children under 18 years. National Center for Children in Poverty at Columbia University. Retrieved from http://www.nccp.org/publications/pub_1170.html
   Google Scholar
• Jung, J.-Y. (2008). Internet connectedness and its social origins: An ecological approach to post-access digital divides. Communication Studies, 59(4), 322–339. doi: 10.1080/10510970802467387
   Google Scholar
• Katz, V. S. (2010). How children use media to connect their families to the community: The case of Latinos in Los Angeles. Journal of Children and Media, 4(3), 298–315. doi: 10.1080/17482798.2010.486136
   Google Scholar
• Katz, V.S. (2014). Kids in the middle: How children of immigrants negotiate community interactions for their families. New Brunswick, NJ: Rutgers University Press.
   Google Scholar
• Katz, V. S. (2017). What it means to be ‘under-connected’ in lower-income families. Journal of Children and Media, 11(2), 241–244. doi: 10.1080/17482798.2017.1305602
   Web of Science ®Google Scholar
• Katz, V. S., & Gonzalez, C. (2016). Community variations in low-income Latino families’ technology adoption and integration. American Behavioral Scientist, 60(1), 59–80. doi: 10.1177/0002764215601712
   Web of Science ®Google Scholar
• Katz, V.S., Moran, M., & Gonzalez, C. (2017). Connecting with technology in lower-income U.S. families. New Media & Society. doi: 10.1177/1461444817726319
   Web of Science ®Google Scholar
• Livingstone, S. (2013). Children and the internet. London: Polity.
   Google Scholar
• Livingstone, S., & Helsper, E. (2007). Gradations in digital inclusion: Children, young people and the digital divide. New Media and Society, 9, 671–696. doi: 10.1177/1461444807080335
   Web of Science ®Google Scholar
• Livingstone, S., Ólafsson, K., Helsper, E. J., Lupiáñez-Villanueva, F., Veltri, G. A., & Folkvord, F. (2017). Maximizing opportunities and minimizing risks for children online: The role of digital skills in emerging strategies of parental mediation. Journal of Communication, 67(1), 82–105. doi: 10.1111/jcom.12277
   Web of Science ®Google Scholar
• Livingstone, S., & Sefton-Green, J. (2016). The class: Living and learning in the digital age. New York: New York University Press.
   Google Scholar
• Lopez, M., Gonzalez-Barrera, A., & Patten, E. (2013). Closing the digital divide: Latinos and technology adoption (Pew Hispanic Center). Retrieved from http://www.pewhispanic.org/2013/03/07/closing-the-digital-divide-latinos-and-technology-adoption/
   Google Scholar
• Mesch, G., Mano, R., & Tsamir, J. (2012). Minority status and health information search: A test of the social diversification hypothesis. Social Science & Medicine, 75(5), 854–858. doi: 10.1016/j.socscimed.2012.03.024
   PubMed Web of Science ®Google Scholar
• Nathanson, A. (2015). Media and the family: Reflections and future directions. Journal of Children and Media, 9(1), 133–139. doi: 10.1080/17482798.2015.997145
   Web of Science ®Google Scholar
• Ragnedda, M. (2017). The third digital divide: A Weberian approach to digital inequalities. New York, NY: Routledge.
   Google Scholar
• Rideout, V. J., & Katz, V. S. (2016). Opportunity for all? Technology and learning in lower-income families. New York, NY: Joan Ganz Cooney Center at Sesame Workshop. Retrieved from http://www.digitalequityforlearning.org
   Google Scholar
• Robinson, L., Cotten, S. R., Ono, H., Quan-Haase, A., Mesch, G., Chen, W., & Stern, M. J. (2015). Digital inequalities and why they matter. Information, Communication & Society, 18(5), 569–582. doi: 10.1080/1369118X.2015.1012532
   Web of Science ®Google Scholar
• Rosseel, Y. (2012). Lavaan: An R package for structural equation modeling. Journal of Statistical Software, 48(2), 1–36. http://www.jstatsoft.org/v48/i02/ doi: 10.18637/jss.v048.i02
   Web of Science ®Google Scholar
• J. Straubhaar, J. Spence, Z. Tufekci, & R. G. Lentz (Eds.). (2012). Inequity in the technopolis: Race, class, gender, and the digital divide in Austin. Austin, TX: University of Texas Press.
   Google Scholar
• Tripp, L. M. (2011). ‘The computer is not for you to be looking around, it is for schoolwork’: Challenges for digital inclusion as Latino immigrant families negotiate children’s access to the internet. New Media & Society, 13, 552–567. doi: 10.1177/1461444810375293
   Web of Science ®Google Scholar
• Valkenburg, P. M., Krcmar, M., Peeters, A. L., & Marseille, N. M. (1999). Developing a scale to assess three styles of television mediation: ‘instructive mediation,’ ‘restrictive mediation,’ and ‘social coviewing’. Journal of Broadcasting and Electronic Media, 43(1), 52–66. doi: 10.1080/08838159909364474
   Web of Science ®Google Scholar
• van Deursen, A. J., & Helsper, E. J. (2017). Collateral benefits of internet use: Explaining the diverse outcomes of engaging with the internet. New Media & Society. Advance online publication. doi: 10.1177/1461444817715282
   PubMed Web of Science ®Google Scholar
• van Deursen, A., & van Dijk, J. (2014). The digital divide shifts to differences in usage. New Media & Society, 16(3), 507–526. doi: 10.1177/1461444813487959
   Web of Science ®Google Scholar
• Vishwanath, A., & Chen, H. (2008). Personal communication technologies as an extension of the self: A cross-cultural comparison of people’s associations with technology and their symbolic proximity with others. Journal of the American Society for Information Science and Technology, 59(11), 1761–1775. doi: 10.1002/asi.20892
   Web of Science ®Google Scholar
• Warschauer, M., Zheng, B., Niiya, M., Cotten, S., & Farkas, G. (2014). Balancing the one-to-one equation: Equity and access in three laptop programs. Equity & Excellence in Education, 47(1), 46–62. doi: 10.1080/10665684.2014.866871
   Google Scholar
• Wei, L. (2012). Number matters: The multimodality of internet use as an indicator of the digital inequalities. Journal of Computer-mediated Communication, 17(3), 303–318. doi: 10.1111/j.1083-6101.2012.01578.x
   Web of Science ®Google Scholar
• White, H. (1980). A heteroskedasticity-consistent covariance matrix estimator and a direct test for heteroskedasticity. Econometrica: Journal of the Econometric Society, 817–838. doi: 10.2307/1912934
   Web of Science ®Google Scholar
• Yip, J. C., Gonzalez, C., & Katz, V. S. (2016). The learning experiences of youth online information brokers. In C.K. Looi, J. Polman, U. Cress, & P. Reimann (Eds.), Transforming learning, empowering learners: The International Conference of the Learning Sciences (ICLS) (Vol. 1, pp. 362–370). Singapore: International Society of the Learning Sciences.
   Google Scholar