The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
A New Tool for Assessing Mobile Device Proficiency in Older Adults: The Mobile Device Proficiency Questionnaire
Open accessAbstract
Mobile device proficiency is increasingly required to participate in society. Unfortunately, there still exists a digital divide between younger and older adults, especially with respect to mobile devices (i.e., tablet computers and smartphones). Training is an important goal to ensure that older adults can reap the benefits of these devices. However, efficient/effective training depends on the ability to gauge current proficiency levels. We developed a new scale to accurately assess the mobile device proficiency of older adults: the Mobile Device Proficiency Questionnaire (MDPQ). We present and validate the MDPQ and a short 16-question version of the MDPQ (MDPQ-16). The MDPQ, its subscales, and the MDPQ-16 were found to be highly reliable and valid measures of mobile device proficiency in a large sample. We conclude that the MDPQ and MDPQ-16 may serve as useful tools for facilitating mobile device training of older adults and measuring mobile device proficiency for research purposes.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Coefficient Alpha and the Internal Structure of Tests
Cronbach, L. J. (1951) · Psychometrika · doi:10.1007/bf02310555 · Cited by 43,931
Czaja, S. J., Charness, N., Fisk, A. D., Hertzog, C., Nair, S. N., Rogers, W. A., & Sharit, J. (2006) · Psychology and Aging · doi:10.1037/0882-7974.21.2.333 · Cited by 2,113 · cited 4×
“The potential for technology to provide assistance and enrichment to older adults is large, but unfortunately, many older adults, especially those with lower socioeconomic status (SES), disabilities, heightened technology anxiety, and low self-efficacy, have adopted technologies such as the Internet, computers, and sm…”
InfluentialOlder adults talk technology: technology usage and attitudes
Mitzner, T. L., Boron, J. B., Fausset, C. B., Adams, A. E., Charness, N., Czaja, S. J., Dijkstra, K., Fisk, A. D., Rogers, W. A., & Sharit, J. (2010) · Computers in Human Behavior · doi:10.1016/j.chb.2010.06.020 · Cited by 1,121
Aging and Information Technology Use: Potential and Barriers
Charness, N., & Boot, W. R. (2009) · Current Directions in Psychological Science · doi:10.1111/j.1467-8721.2009.01647.x · Cited by 674
Self-citationDesigning for Older Adults: Principles and Creative Human Factors Approaches, Second Edition
Fisk, A. D., Czaja, S. J., Rogers, W. A., Charness, N., Czaja, S. J., & Sharit, J. (2018) · doi:10.1201/9781420080681 · Cited by 396
Melenhorst, A.-S., Rogers, W. A., & Bouwhuis, D. G. (2006) · Psychology and Aging · doi:10.1037/0882-7974.21.1.190 · Cited by 363
Tsai, H.-Y. S., Shillair, R., & Cotten, S. R. (2017) · Journal of Applied Gerontology · doi:10.1177/0733464815609440 · Cited by 326
Reducing the Digital Divide: Connecting Older Adults to iPad Technology
Delello, J. A., & McWhorter, R. R. (2017) · Journal of Applied Gerontology · doi:10.1177/0733464815589985 · Cited by 267
Computer Proficiency Questionnaire: Assessing Low and High Computer Proficient Seniors
Boot, W. R., Charness, N., Czaja, S. J., Sharit, J., Rogers, W. A., Fisk, A. D., Mitzner, T., Lee, C. C., & Nair, S. (2015) · The Gerontologist · doi:10.1093/geront/gnt117 · Cited by 229
Self-citationDesigning Training and Instructional Programs for Older Adults
Czaja, S. J., & Sharit, J. (2012) · CRC Press eBooks · doi:10.1201/b13018 · Cited by 138
Research works printed but not linked: 1
- IDC Worldwide, Quarterly Smart Connected Device Tracker. (2015). As tablets slow and PCs face ongoing challenges, smartphone grab an ever-larger share of the smart connected device market through 2019, according to IDC [Press release]. Retrieved from http://www.idc.com/getdoc.jsp?containerId=prUS25500515
Cited by
Timmers, T., Janssen, L., Pronk, Y., van der Zwaard, B. C., Koëter, S., van Oostveen, D., de Boer, S., Kremers, K., Rutten, S., Das, D., et al. (2018) · JMIR mHealth and uHealth · doi:10.2196/10742 · Cited by 59
Petrovcic, A., Boot, W. R., Burnik, T., & Dolnicar, V. (2019) · IEEE Access · doi:10.1109/access.2019.2947765 · Cited by 28
Self-citationChen, C., Lifset, E. T., Han, Y., Roy, A., Hogarth, M., Moore, A. A., Farcas, E., & Weibel, N. (2023) · The 25th International ACM SIGACCESS Conference on Computers and Accessibility · doi:10.1145/3597638.3608378 · Cited by 25
“• MDPQ (Mobile Device Proficiency Questionnaire) [56, 62] evaluates the proficiency with smartphones for older adults.”
BackgroundInvestigating message framing to improve adherence to technology-based cognitive interventions.
Harrell, E. R., Roque, N. A., Boot, W. R., & Charness, N. (2021) · Psychology and Aging · doi:10.1037/pag0000629 · Cited by 24
Self-citationA Review of Smartphone Fact-Checking Apps and their (Non) Use Among Older Adults
Sakhnini, N., & Chattopadhyay, D. (2022) · Adjunct Publication of the 24th International Conference on Human-Computer Interaction with Mobile Devices and Services · doi:10.1145/3528575.3551448 · Cited by 13
Metadata
- Authors
- Roque, N. A., & Boot, W. R.
- Venue
- Journal of Applied Gerontology
- Publisher
- SAGE Publications
- Published
- 2016-04-11
- Volume
- 37
- Issue
- 2
- Pages
- 131-156
- ISSN
- 0733-4648 (ISSN-L)
- 1552-4523
- OpenAlex
- W2327270172
- Cited by
- 308
- References
- 12
- FWCI
- 18.67
- Type
- journal article
- Language
- en
- Open access
- green
- Licence
- journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)
- Funders
- National Institute on Aging
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.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A New Tool for Assessing Mobile Device Proficiency in Older Adults: The Mobile Device Proficiency Questionnaire. https://app.cochat.ai/papers/10.1177/0733464816642582
- The paper
- Roque, N. A., & Boot, W. R. (2018). A New Tool for Assessing Mobile Device Proficiency in Older Adults: The Mobile Device Proficiency Questionnaire. Journal of Applied Gerontology. https://doi.org/10.1177/0733464816642582
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
