The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Matrix Analysis as a Complementary Analytic Strategy in Qualitative Inquiry
Abstract
In the current health care environment, researchers are asked to share meaningful results with interdisciplinary professional audiences, concerned community members, students, policy makers, planners, and financial officers. Emphasis is placed on effective health care outcomes and evidence, especially for underserved and vulnerable populations. Any research strategy that facilitates the clear, accurate communication of findings and voices will likely benefit groups targeted for intervention with scarce resources. In this example, matrix analysis contributes to the display, interpretation, pragmatic evaluation, and dissemination of findings in a study of rural elders. The author proposes matrix analysis as a strategy to advance knowledge and enhance the development of evidence in qualitative research.
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Cites
Handbook of Qualitative Research
Crozier, G., Denzin, N., & Lincoln, Y. (1994) · British Journal of Educational Studies · doi:10.2307/3121684 · Cited by 26,666
Cited by
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Lambert, S. D., & Loiselle, C. G. (2008) · Journal of Advanced Nursing · doi:10.1111/j.1365-2648.2007.04559.x · Cited by 1,318
Gale, R. C., Wu, J., Erhardt, T., Bounthavong, M., Reardon, C. M., Damschroder, L. J., & Midboe, A. M. (2019) · Implementation Science · doi:10.1186/s13012-019-0853-y · Cited by 846
McNeely, J., Kumar, P. C., Rieckmann, T., Sedlander, E., Farkas, S., Chollak, C., Kannry, J. L., Vega, A., Waite, E. A., Peccoralo, L. A., et al. (2018) · Addiction Science & Clinical Practice · doi:10.1186/s13722-018-0110-8 · Cited by 303
Lewinski, A. A., Crowley, M. J., Miller, C., Bosworth, H. B., Jackson, G. L., Steinhauser, K., White-Clark, C., McCant, F., & Zullig, L. L. (2021) · Medical Care · doi:10.1097/mlr.0000000000001553 · Cited by 296
Teachers’ Sensemaking of Data and Implications for Equity
Bertrand, M., & Marsh, J. A. (2015) · American Educational Research Journal · doi:10.3102/0002831215599251 · Cited by 209
Uscher-Pines, L., Sousa, J., Raja, P., Mehrotra, A., Barnett, M. L., & Huskamp, H. A. (2020) · Psychiatric Services · doi:10.1176/appi.ps.202000250 · Cited by 183
Naslund, J. A., Aschbrenner, K. A., Barre, L. K., & Bartels, S. J. (2015) · Telemedicine and e-Health · doi:10.1089/tmj.2014.0105 · Cited by 144
Metrics Matter: How Properties and Perceptions of Data Shape Teachers’ Instructional Responses
Farrell, C. C., & Marsh, J. A. (2016) · Educational Administration Quarterly · doi:10.1177/0013161x16638429 · Cited by 54
Macchi, Z. A., Ayele, R., Dini, M., Lamira, J., Katz, M., Pantilat, S. Z., Jones, J., & Kluger, B. M. (2021) · Palliative Medicine · doi:10.1177/02692163211017383 · Cited by 49
Gillard, S., Turner, K., & Neffgen, M. (2015) · BMC Psychiatry · doi:10.1186/s12888-015-0572-0 · Cited by 49
Dindo, L., Johnson, A. L., Lang, B., Rodrigues, M., Martin, L., & Jorge, R. (2020) · Contemporary Clinical Trials · doi:10.1016/j.cct.2020.105954 · Cited by 46
Use of Rapid Assessment Procedures when analyzing qualitative data in pharmacy research
Renfro, C. P., Rome, Z., Gatwood, J., & Hohmeier, K. C. (2022) · Research in Social and Administrative Pharmacy · doi:10.1016/j.sapharm.2021.05.013 · Cited by 45
Nevedal, A. L., Reardon, C. M., Jackson, G. L., Cutrona, S. L., White, B., Gifford, A. L., Orvek, E., DeLaughter, K., White, L., King, H. A., et al. (2020) · Implementation Science Communications · doi:10.1186/s43058-020-00053-1 · Cited by 44
Tanenbaum, M. L., Zaharieva, D. P., Addala, A., Ngo, J., Prahalad, P., Leverenz, B., New, C., Maahs, D. M., & Hood, K. K. (2021) · Diabetic Medicine · doi:10.1111/dme.14567 · Cited by 42
Lane, H. G., Deitch, R., Wang, Y., Black, M. M., Dunton, G. F., Aldoory, L., Turner, L., Parker, E. A., Henley, S. C., Saksvig, B., et al. (2018) · Contemporary Clinical Trials · doi:10.1016/j.cct.2018.10.008 · Cited by 39
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Penney, L. S., & Haro, E. (2019) · Journal of Pain Research · doi:10.2147/jpr.s185652 · Cited by 32
Ball, S. L., Stevenson, L. D., Ladebue, A. C., McCreight, M. S., Lawrence, E. C., Oestreich, T., & Lambert-Kerzner, A. C. (2017) · Medical Care · doi:10.1097/mlr.0000000000000721 · Cited by 31
Physician views of artificial intelligence in otolaryngology and rhinology: A mixed methods study
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Mann, A., Fainstad, T., Shah, P., Dieujuste, N., Thurmon, K., Dunbar, K., & Jones, C. (2022) · BMC Medical Education · doi:10.1186/s12909-022-03729-5 · Cited by 24
Sri-Pathmanathan, C., Nhamo, D., Mamvuto, T., Chapwanya, G., Terris-Prestholt, F., Mahaka, I., Marks, M., & Tucker, J. D. (2022) · Sexually Transmitted Infections · doi:10.1136/sextrans-2020-054911 · Cited by 17
Mace, R. A., Greenberg, J., Lemaster, N., Duarte, B., Penn, T., Kanaya, M., Doorley, J. D., Burris, J. L., Jacobs, C. A., & Vranceanu, A.-M. (2022) · JMIR Formative Research · doi:10.2196/34654 · Cited by 15
“Finally, we consolidated the summaries with a matrix to compare the focus groups, identified common themes, and reported the results in the next section [64].”
MethodOtolaryngologist perceptions of AI-based sinus CT interpretation
Massey, C. J., Asokan, A., Tietbohl, C., Morris, M., & Ramakrishnan, V. R. (2023) · American Journal of Otolaryngology · doi:10.1016/j.amjoto.2023.103932 · Cited by 10
Dorfman, C. S., Shelby, R. A., Stalls, J. M., Somers, T. J., Keefe, F. J., Vilardaga, J. P., Winger, J. G., Mitchell, K., Ehren, C., & Oeffinger, K. C. (2023) · Journal of Adolescent and Young Adult Oncology · doi:10.1089/jayao.2022.0100 · Cited by 10
Metadata
- Authors
- Averill, J. B.
- Venue
- Qualitative Health Research
- Publisher
- SAGE Publications
- Published
- 2002-07-01
- Volume
- 12
- Issue
- 6
- Pages
- 855-866
- ISSN
- 1049-7323 (ISSN-L)
- 0000-0000
- OpenAlex
- W2170754611
- Cited by
- 839
- References
- 1
- FWCI
- 6.09
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
