Macias Cathaleene, Jones Danson R, Hargreaves William A, Wang Qi, Rodican Charles F, Barreira Paul J, Gold Paul B
McLean Hospital, Belmont, MA, USA.
Adm Policy Ment Health. 2008 Jul;35(4):283-94. doi: 10.1007/s10488-008-0174-y.
Practitioners need to know for whom evidence-based services are most or least effective, but few services research studies provide this information. Using data from a randomized controlled comparison of supported employment findings for two multi-service psychiatric rehabilitation programs, we illustrate and compare procedures for measuring program-by-client characteristic interactions depicting differential program effectiveness, and then illustrate how a significant program-by-client interaction can explain overall program differences in service effectiveness. Interaction analyses based on cluster analysis-identified sample subgroups appear to provide statistically powerful and meaningful hypothesis tests that can aid in the interpretation of main effect findings and help to refine program theory.
从业者需要了解循证服务对哪些人最有效或最无效,但很少有服务研究能提供此类信息。利用两项多服务精神康复项目的支持性就业结果的随机对照比较数据,我们阐述并比较了衡量项目与客户特征交互作用(描述不同项目效果)的程序,然后说明了显著的项目与客户交互作用如何能够解释服务效果方面的总体项目差异。基于聚类分析确定的样本亚组进行的交互分析似乎能提供具有统计学效力且有意义的假设检验,有助于解释主效应结果并帮助完善项目理论。