The DOI matches its Crossref record; 40 of the 41 references it cites were found in a registry or an index.
Development and validation of a social media use integration scale.
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Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“This approach tends to examine social media use as a technology-based activity, often measuring the frequency, duration and timing of use [25].”
From Understanding Links Between Social Media Use, Sleep and Mental Health: Recent Progress and Current Challenges (2019) · cites this paper as [25]
In the citing paper
“For example, individuals who spend the same time using social media each day (or night) can differ in the level of emotional connection that they feel towards this activity [25].”
From Understanding Links Between Social Media Use, Sleep and Mental Health: Recent Progress and Current Challenges (2019) · cites this paper as [25]
In the citing paper
“However, we note that researchers across these fields have nonetheless been limited by the research measures available to them [25].”
From Understanding Links Between Social Media Use, Sleep and Mental Health: Recent Progress and Current Challenges (2019) · cites this paper as [25]
Citations
Cites
Hu, L., & Bentler, P. M. (1999) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705519909540118 · Cited by 108,788
Tabachnick, B. G., & Fidell, L. S. (1983) · Cited by 79,882
Emerging adulthood: A theory of development from the late teens through the twenties.
Arnett, J. J. (2000) · American Psychologist · doi:10.1037/0003-066x.55.5.469 · Cited by 16,843
Social network sites: definition, history, and scholarship
boyd, D. M., & Ellison, N. B. (2007) · Journal of Computer-Mediated Communication · doi:10.1111/j.1083-6101.2007.00393.x · Cited by 16,251
Ellison, N. B., Steinfield, C., & Lampe, C. (2007) · Journal of Computer-Mediated Communication · doi:10.1111/j.1083-6101.2007.00367.x · Cited by 9,939
Testing Structural Equation Models.
Clogg, C. C., Bollen, K. A., & Long, J. S. (1995) · Social Forces · doi:10.2307/2580595 · Cited by 8,246
Practical issues in structural modeling
BENTLER, P. M., & CHOU, C.-P. (1987) · Sociological Methods & Research · doi:10.1177/0049124187016001004 · Cited by 5,804
(2011) · Cited by 5,290
Structural Equation Modeling With AMOS: Basic Concepts, Applications, and Programming, Third Edition
Byrne, B. M. (2016) · doi:10.4324/9781315757421 · Cited by 4,653
Scale Development Research: A Content Analysis and Recommendations for Best Practices
Worthington, R. L., & Whittaker, T. A. (2006) · The Counseling Psychologist · doi:10.1177/0011000006288127 · Cited by 4,087
Flagged first, then by citations
1 of the 41 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Woods, H. C., & Scott, H. (2016) · Journal of Adolescence · doi:10.1016/j.adolescence.2016.05.008 · Cited by 1,302
The Media and Technology Usage and Attitudes Scale: An empirical investigation
Rosen, L. D., Whaling, K., Carrier, L. M., Cheever, N. A., & Rokkum, J. (2013) · Computers in Human Behavior · doi:10.1016/j.chb.2013.06.006 · Cited by 788
Social media use and mental health among young adults
Berryman, C., Ferguson, C. J., & Negy, C. (2018) · Psychiatric Quarterly · doi:10.1007/s11126-017-9535-6 · Cited by 484
Consumer emotional brand attachment with social media brands and social media brand equity
Dwivedi, A., Johnson, L. W., Wilkie, D. C. H., & Gil, L. D. A. (2018) · European Journal of Marketing · doi:10.1108/ejm-09-2016-0511 · Cited by 332
Raggatt, M., Wright, C. J. C., Carrotte, E., Jenkinson, R., Mulgrew, K., Prichard, I., & Lim, M. S. C. (2018) · BMC Public Health · doi:10.1186/s12889-018-5930-7 · Cited by 239
“Previous studies investigating social media have used self-reported estimates of frequency and duration of exposure to social media content; however, such estimates can be heavily affected by recall bias and do not capture the different ways that people can interact with social media content or their level of involvem…”
Background
Metadata
- Authors
- Jenkins-Guarnieri, M. A., Wright, S. L., & Johnson, B.
- Affiliations
- University of Northern Colorado (US)
- Venue
- Psychology of Popular Media Culture
- Published
- 2013-01
- Volume
- 2
- Issue
- 1
- Pages
- 38-50
- ISSN
- 2160-4134 (ISSN-L)
- 2160-4142
- OpenAlex
- W2334175620
- Cited by
- 273
- References
- 41
- Citations by year
- 2026: 37 · 2025: 30 · 2024: 36 · 2023: 28 · 2022: 34 · 2021: 27 · 2020: 25 · 2019: 12 · 2018: 15 · 2017: 7 · 2016: 13 · 2015: 4 · 2014: 1 · 2013: 3
- FWCI
- 9.49
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Psychology of Popular Media Culture (publishedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Social Sciences › Communication › Media and Digital Communication
- Social Sciences › Business, Management and Accounting › Marketing › Digital Marketing and Social Media
- Keywords
- social media use, scale development, scale validation, social media integration
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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