| Title |
How to Construct a Mixed Methods Research Design
|
|---|---|
| Published in |
KZfSS Kölner Zeitschrift für Soziologie und Sozialpsychologie, July 2017
|
| DOI | 10.1007/s11577-017-0454-1 |
| Pubmed ID | |
| Authors |
Judith Schoonenboom, R. Burke Johnson |
| Abstract |
This article provides researchers with knowledge of how to design a high quality mixed methods research study. To design a mixed study, researchers must understand and carefully consider each of the dimensions of mixed methods design, and always keep an eye on the issue of validity. We explain the seven major design dimensions: purpose, theoretical drive, timing (simultaneity and dependency), point of integration, typological versus interactive design approaches, planned versus emergent design, and design complexity. There also are multiple secondary dimensions that need to be considered during the design process. We explain ten secondary dimensions of design to be considered for each research study. We also provide two case studies showing how the mixed designs were constructed. |
X Demographics
The data shown below were collected from the profiles of 123 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 22 | 18% |
| United Kingdom | 17 | 14% |
| Australia | 6 | 5% |
| Saudi Arabia | 3 | 2% |
| Indonesia | 2 | 2% |
| Spain | 2 | 2% |
| Brazil | 2 | 2% |
| Nigeria | 1 | <1% |
| Canada | 1 | <1% |
| Other | 14 | 11% |
| Unknown | 53 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 78 | 63% |
| Scientists | 37 | 30% |
| Practitioners (doctors, other healthcare professionals) | 7 | 6% |
| Science communicators (journalists, bloggers, editors) | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 2,310 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2310 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 365 | 16% |
| Student > Ph. D. Student | 315 | 14% |
| Student > Doctoral Student | 158 | 7% |
| Student > Bachelor | 153 | 7% |
| Lecturer | 117 | 5% |
| Other | 392 | 17% |
| Unknown | 810 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 238 | 10% |
| Business, Management and Accounting | 186 | 8% |
| Nursing and Health Professions | 173 | 7% |
| Psychology | 156 | 7% |
| Medicine and Dentistry | 117 | 5% |
| Other | 587 | 25% |
| Unknown | 853 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 93. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 March 2024.
All research outputs
#463,491
of 25,728,350 outputs
Outputs from KZfSS Kölner Zeitschrift für Soziologie und Sozialpsychologie
#4
of 248 outputs
Outputs of similar age
#9,575
of 326,705 outputs
Outputs of similar age from KZfSS Kölner Zeitschrift für Soziologie und Sozialpsychologie
#1
of 12 outputs
Altmetric has tracked 25,728,350 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 248 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.7. This one has done particularly well, scoring higher than 98% of its peers.
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We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.