| Title |
Revisiting the Quantitative-Qualitative Debate: Implications for Mixed-Methods Research
|
|---|---|
| Published in |
Quality & Quantity, February 2002
|
| DOI | 10.1023/a:1014301607592 |
| Pubmed ID | |
| Authors |
Joanna E. M. Sale, Lynne H. Lohfeld, Kevin Brazil |
| Abstract |
Health care research includes many studies that combine quantitative and qualitative methods. In this paper, we revisit the quantitative-qualitative debate and review the arguments for and against using mixed-methods. In addition, we discuss the implications stemming from our view, that the paradigms upon which the methods are based have a different view of reality and therefore a different view of the phenomenon under study. Because the two paradigms do not study the same phenomena, quantitative and qualitative methods cannot be combined for cross-validation or triangulation purposes. However, they can be combined for complementary purposes. Future standards for mixed-methods research should clearly reflect this recommendation. |
X Demographics
The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Saudi Arabia | 5 | 31% |
| United States | 2 | 13% |
| Nigeria | 1 | 6% |
| United Kingdom | 1 | 6% |
| Germany | 1 | 6% |
| Unknown | 6 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 14 | 88% |
| Scientists | 2 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 2,570 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 54 | 2% |
| United States | 32 | 1% |
| South Africa | 12 | <1% |
| Portugal | 7 | <1% |
| Australia | 7 | <1% |
| Canada | 7 | <1% |
| Malaysia | 5 | <1% |
| New Zealand | 5 | <1% |
| Switzerland | 4 | <1% |
| Other | 38 | 1% |
| Unknown | 2399 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 634 | 25% |
| Student > Master | 496 | 19% |
| Student > Doctoral Student | 255 | 10% |
| Researcher | 174 | 7% |
| Student > Bachelor | 151 | 6% |
| Other | 467 | 18% |
| Unknown | 393 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 620 | 24% |
| Business, Management and Accounting | 429 | 17% |
| Psychology | 196 | 8% |
| Medicine and Dentistry | 154 | 6% |
| Computer Science | 119 | 5% |
| Other | 583 | 23% |
| Unknown | 469 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 13 December 2021.
All research outputs
#2,767,482
of 25,457,858 outputs
Outputs from Quality & Quantity
#41
of 727 outputs
Outputs of similar age
#5,673
of 133,250 outputs
Outputs of similar age from Quality & Quantity
#2
of 2 outputs
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