| Title |
Research Designs for Intervention Research with Small Samples II: Stepped Wedge and Interrupted Time-Series Designs
|
|---|---|
| Published in |
Prevention Science, May 2015
|
| DOI | 10.1007/s11121-015-0569-4 |
| Pubmed ID | |
| Authors |
Carlotta Ching Ting Fok, David Henry, James Allen |
| Abstract |
The stepped wedge design (SWD) and the interrupted time-series design (ITSD) are two alternative research designs that maximize efficiency and statistical power with small samples when contrasted to the operating characteristics of conventional randomized controlled trials (RCT). This paper provides an overview and introduction to previous work with these designs and compares and contrasts them with the dynamic wait-list design (DWLD) and the regression point displacement design (RPDD), which were presented in a previous article (Wyman, Henry, Knoblauch, and Brown, Prevention Science. 2015) in this special section. The SWD and the DWLD are similar in that both are intervention implementation roll-out designs. We discuss similarities and differences between the SWD and DWLD in their historical origin and application, along with differences in the statistical modeling of each design. Next, we describe the main design characteristics of the ITSD, along with some of its strengths and limitations. We provide a critical comparative review of strengths and weaknesses in application of the ITSD, SWD, DWLD, and RPDD as small sample alternatives to application of the RCT, concluding with a discussion of the types of contextual factors that influence selection of an optimal research design by prevention researchers working with small samples. |
X Demographics
The data shown below were collected from the profiles of 5 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 Kingdom | 2 | 40% |
| United States | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 60% |
| Members of the public | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | <1% |
| Unknown | 112 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 23 | 20% |
| Student > Master | 18 | 16% |
| Student > Ph. D. Student | 15 | 13% |
| Student > Doctoral Student | 7 | 6% |
| Other | 5 | 4% |
| Other | 17 | 15% |
| Unknown | 28 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 23 | 20% |
| Social Sciences | 17 | 15% |
| Psychology | 14 | 12% |
| Nursing and Health Professions | 10 | 9% |
| Neuroscience | 5 | 4% |
| Other | 11 | 10% |
| Unknown | 33 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 06 February 2019.
All research outputs
#7,652,800
of 23,577,761 outputs
Outputs from Prevention Science
#501
of 1,064 outputs
Outputs of similar age
#90,492
of 267,408 outputs
Outputs of similar age from Prevention Science
#5
of 10 outputs
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