Why Small is Too Small a Term: Prevention Science for Health Disparities, Culturally Distinct Groups, and Community-Level Intervention

Why Small is Too Small a Term: Prevention Science for Health Disparities, Culturally Distinct... Implications of the Advancing Small Sample Prevention Science Special Section are discussed. Efficiency and precision are inadequately considered in many current prevention-science methodological approaches. As a result, design and analytic practices pose difficulties for the study of contextual factors in prevention, which often involve small samples. Four primary conclusions can be drawn from the Special Section. First, contemporary statistical and measurement approaches provide a number of underutilized opportunities to maximize power. These strategies maximize efficiencies by optimizing design and resource allocation parameters, allowing for the detection of effects with small samples. Second, several alternative research designs provide both rigor and further optimize efficiencies through more complete use of available information, allowing study of important questions in prevention science for which only small samples may be accessible. Third, mixed methods hold promise for enhancing the utility of qualitative data in studies with small samples. Finally, Bayesian analytic approaches, through their use of prior information, allow for even greater efficiencies in work with small samples, and through their introduction in the routines of mainstream software packages, hold particular promise as an emergent methodology in prevention research. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Prevention Science Springer Journals

Why Small is Too Small a Term: Prevention Science for Health Disparities, Culturally Distinct Groups, and Community-Level Intervention

Loading next page...
 
/lp/springer_journal/why-small-is-too-small-a-term-prevention-science-for-health-zhMMqerJCs
Publisher
Springer US
Copyright
Copyright © 2015 by Society for Prevention Research
Subject
Medicine & Public Health; Public Health; Health Psychology; Child and School Psychology
ISSN
1389-4986
eISSN
1573-6695
D.O.I.
10.1007/s11121-015-0577-4
Publisher site
See Article on Publisher Site

Abstract

Implications of the Advancing Small Sample Prevention Science Special Section are discussed. Efficiency and precision are inadequately considered in many current prevention-science methodological approaches. As a result, design and analytic practices pose difficulties for the study of contextual factors in prevention, which often involve small samples. Four primary conclusions can be drawn from the Special Section. First, contemporary statistical and measurement approaches provide a number of underutilized opportunities to maximize power. These strategies maximize efficiencies by optimizing design and resource allocation parameters, allowing for the detection of effects with small samples. Second, several alternative research designs provide both rigor and further optimize efficiencies through more complete use of available information, allowing study of important questions in prevention science for which only small samples may be accessible. Third, mixed methods hold promise for enhancing the utility of qualitative data in studies with small samples. Finally, Bayesian analytic approaches, through their use of prior information, allow for even greater efficiencies in work with small samples, and through their introduction in the routines of mainstream software packages, hold particular promise as an emergent methodology in prevention research.

Journal

Prevention ScienceSpringer Journals

Published: Jul 31, 2015

References

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Search

Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly

Organize

Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.

Access

Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve

Freelancer

DeepDyve

Pro

Price

FREE

$49/month
$360/year

Save searches from
Google Scholar,
PubMed

Create lists to
organize your research

Export lists, citations

Read DeepDyve articles

Abstract access only

Unlimited access to over
18 million full-text articles

Print

20 pages / month

PDF Discount

20% off