Multilevel factorial experiments for developing behavioral interventions: power, sample size, and resource considerations.

ABSTRACT: Factorial experimental designs have many potential advantages for behavioral scientists. For example, such designs may be useful in building more potent interventions by helping investigators to screen several candidate intervention components simultaneously and to decide which are likely to offer greater benefit before evaluating the intervention as a whole. However, sample size and power considerations may challenge investigators attempting to apply such designs, especially when the population of interest is multilevel (e.g., when students are nested within schools, or when employees are nested within organizations). In this article, we examine the feasibility of factorial experimental designs with multiple factors in a multilevel, clustered setting (i.e., of multilevel, multifactor expe

SUBMITTER: Dziak JJ 

PROVIDER: S-EPMC3351535 | biostudies-literature | 2012 Jun

REPOSITORIES: biostudies-literature