Paper Title
Toward understanding individual effects in multicomponent prevention programs: Design and analysis strategies
Keywords
- Multicomponent Prevention Programs
- Individual Effects
- Design Strategies
- Analysis Strategies
- Preventive Interventions
- Statistical Modeling
- Research Design
- Mediational Analysis
- Breast Cancer Screening
- Program Evaluation
- Causal Inference
- Psychosocial Theory
- Intervention Components
- Applied Science
- Prevention Science
Article Type
Book review
Research Impact Tools
Publication Info
| Pages: 167–209
Published On
March, 1997
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Abstract
Notes that preventive interventions are often composed of multiple components. The authors focus on design and statistical modeling methods for understanding the unique effects of each component in such multicomponent interventions. They consider the assumptions, strengths and weaknesses of several research designs that permit researchers to partially untangle the effects of some of the individual components. They also consider the strengths and limitations of mediational analysis, a statistical modeling strategy that tests whether the data are consistent with the underlying psychosocial theory and the theory of the intervention. This strategy is illustrated in an analysis of the influence of each of 4 components of an intervention to promote early screening for breast cancer. The authors conclude that combining mediational analysis with enhancements in research design can maximize both the basic and applied science contributions of preventive trials.
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