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Evaluating individual intervention components: making decisions based on the results of a factorial screening experiment

Overview of attention for article published in Translational Behavioral Medicine, November 2013
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91 Mendeley
Title
Evaluating individual intervention components: making decisions based on the results of a factorial screening experiment
Published in
Translational Behavioral Medicine, November 2013
DOI 10.1007/s13142-013-0239-7
Pubmed ID
Authors

Linda M Collins, Jessica B Trail, Kari C Kugler, Timothy B Baker, Megan E Piper, Robin J Mermelstein

Abstract

The multiphase optimization strategy (MOST) is a framework for not only evaluating but also optimizing behavioral interventions. A tool critical for MOST is the screening experiment, which enables efficient gathering of information for deciding which components to include in an optimized intervention. This article outlines a procedure for making decisions based on data from a factorial screening experiment. The decision making procedure is illustrated with artificial data generated to resemble empirical data. The illustration suggests that this approach is useful for selecting intervention components and settings based on the results of a factorial screening experiment. It is important to develop methods for making decisions based on factorial screening experiments. The approach demonstrated here is potentially useful, but has limited generalizability. Future research should develop additional decision making procedures for a variety of situations.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Norway 1 1%
Belgium 1 1%
Unknown 88 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 20%
Student > Ph. D. Student 15 16%
Professor > Associate Professor 12 13%
Student > Doctoral Student 6 7%
Professor 6 7%
Other 16 18%
Unknown 18 20%
Readers by discipline Count As %
Psychology 20 22%
Social Sciences 17 19%
Medicine and Dentistry 11 12%
Computer Science 4 4%
Nursing and Health Professions 4 4%
Other 14 15%
Unknown 21 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 18 September 2014.
All research outputs
#14,785,250
of 22,763,032 outputs
Outputs from Translational Behavioral Medicine
#701
of 989 outputs
Outputs of similar age
#185,663
of 306,491 outputs
Outputs of similar age from Translational Behavioral Medicine
#4
of 7 outputs
Altmetric has tracked 22,763,032 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 989 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.8. This one is in the 25th percentile – i.e., 25% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 306,491 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.