Data Analysis Strategies for Mixed-Method Evaluation Designs
Abstract
Four integrative data analysis strategies for mixed-method evaluation designs are derived from and illustrated by empirical practice: data transformation, typology development, extreme case analysis, and data consolidation/merging. The appropriateness of these strategies for different kinds of mixed-method intents is then discussed. Where appropriate, such integrative strategies are encouraged as ways to realize the full potential of mixed-methodological approaches.
Integrity signals
Registry
Cites
Statistics
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?
Health care research includes many studies that combine quantitative and qualitative methods.
“Health care research includes many studies that combine quantitative and qualitative methods, as seen in numerous articles and books published in the last decade (Caracelli and Greene, 1993; Caracelli and Riggin, 1994; Casebeer and Verhoef, 1997; Datta, 1997; Droitcour, 1997; Greene and Caracelli, 1997; House, 1994; Morgan, 1998; Morse, 1991; Tashakkori and Teddlie, 1998).”
From Revisiting the Quantitative-Qualitative Debate: Implications for Mixed-Methods Research (2002) · cites this paper as Caracelli and Greene, 1993
Cites
Convergent and discriminant validation by the multitrait-multimethod matrix.
Campbell, D. T., & Fiske, D. W. (1959) · Psychological Bulletin · doi:10.1037/h0046016 · Cited by 17,116 · see citing works
Mixing Qualitative and Quantitative Methods: Triangulation in Action.
Jick, T. D. (1979) · Administrative Science Quarterly · doi:10.2307/2392366 · Cited by 7,103 · cited 1× · see citing works
“ple, how, if at all, should different data types be weighted when consolidating or merging them (Cordray, 1986; Jick, 1983)? More ex-”
BackgroundToward a Conceptual Framework for Mixed-Method Evaluation Designs
Greene, J. C., Caracelli, V. J., & Graham, W. F. (1989) · Educational Evaluation and Policy Analysis · doi:10.3102/01623737011003255 · Cited by 5,687 · see citing works
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
Using Mixed-Methods Sequential Explanatory Design: From Theory to Practice
Ivankova, N. V., Creswell, J. W., & Stick, S. L. (2006) · Field Methods · doi:10.1177/1525822x05282260 · Cited by 3,167 · see citing works
Pluye, P., Gagnon, M.-P., Griffiths, F., & Johnson-Lafleur, J. (2009) · International Journal of Nursing Studies · doi:10.1016/j.ijnurstu.2009.01.009 · Cited by 1,119 · see citing works
Revisiting the Quantitative-Qualitative Debate: Implications for Mixed-Methods Research
Sale, J. E. M., Lohfeld, L. H., & Brazil, K. (2002) · Quality and Quantity · doi:10.1023/a:1014301607592 · Cited by 1,082 · see citing works
How to Conduct a Mixed Methods Study: Recent Trends in a Rapidly Growing Literature
Small, M. L. (2011) · Annual Review of Sociology · doi:10.1146/annurev.soc.012809.102657 · Cited by 829 · see citing works
Collins, K. M. T., Onwuegbuzie, A. J., & Jiao, Q. G. (2007) · Journal of Mixed Methods Research · doi:10.1177/1558689807299526 · Cited by 552 · see citing works
Midgley, N., Ansaldo, F., & Target, M. (2014) · Psychotherapy · doi:10.1037/a0034179 · Cited by 128 · see citing works
Zarbo, C., Agosta, S., Casiraghi, L., De Novellis, A., Leuci, E., Paulillo, G., Rocchetti, M., Starace, F., Zamparini, M., & de Girolamo, G. (2022) · Psychiatry Research · doi:10.1016/j.psychres.2022.114675 · Cited by 17 · see citing works
- Authors
- Caracelli, V. J., & Greene, J. C.
- Affiliations
- United States Government Accountability Office (US)
- Cornell University (US)
- Venue
- Educational Evaluation and Policy Analysis
- Published
- 1993-06
- Volume
- 15
- Issue
- 2
- Pages
- 195-207
- ISSN
- 0162-3737 (ISSN-L)
- 1935-1062
- OpenAlex
- W2124743631
- Cited by
- 627
- References
- 3
- Citations by year
- 2026: 11 · 2025: 15 · 2024: 28 · 2023: 17 · 2022: 19 · 2021: 36 · 2020: 31 · 2019: 26 · 2018: 29 · 2017: 26 · 2016: 38 · 2015: 43 · 2014: 39 · 2013: 40 · 2012: 38
- FWCI
- 8.48
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Educational Evaluation and Policy Analysis (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Evaluation and Performance Assessment
- Social Sciences › Education › Educational Research and Methods
- Social Sciences › Sociology and Political Science › Qualitative Comparative Analysis Research
- Keywords
- data analysis methods, data transformation, typology development, data consolidation, data merging, integrative data analysis, evaluation design
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
