Untangling the web: an approach to analyzing the impacts of individually tailored, multicomponent treatment interventions.
In this paper the use of a maximum individualized change score is proposed as an analytic alternative to the more traditional MANOVA and latent variable approaches in studies examining the use of individually tailored interventions. This strategy offers a number of significant advantages when multiple indicators are used to assess a broad array of potential outcomes that might result from client-specific treatments. Data on 146 children from a study examining the effectiveness of 3 short-term intensive in-home services were used to contrast the results of our proposed analytic strategy with those from the MANOVA and latent variable approaches. Results indicate that the maximum individualized change score approach improves the outcome comparisons among the 3 treatment interventions and eliminates some concerns regarding subjectivity that exists with procedures such as goal-attainment scaling. A simulation study suggests the maximum change score statistics is a nonbiased estimate for assessing between-group differences in program effectiveness and has more power than MANOVA to produce significant differences when smaller program effects exist. Suggestions for strengthening this analytic approach as well as examples regarding use of this technique in other research contexts are also provided.
Department of Mental Health Law and Policy, Louis de la Parte Florida Mental Health Institute, University of South Florida, Tampa, Florida 33612-3807, USA. boothroy@fmhi.usf.edu
Roger A
RA
Boothroyd
Steven M
SM
Banks
Mary E
ME
Evans
Paul E
PE
Greenbaum
Eric
E
Brown
D000293:Adolescent; D002648:Child; D002675:Child, Preschool; D003198:Computer Simulation; D003627:Data Interpretation, Statistical; D004637:Emergency Services, Psychiatric; D006302:Health Services Research / Q000706:statistics & numerical data*; D006699:Home Care Services; D006801:Humans; D001523:Mental Disorders / Q000534:rehabilitation; D015999:Multivariate Analysis; D017063:Outcome Assessment, Health Care / Q000706:statistics & numerical data*; D016032:Randomized Controlled Trials as Topic / Q000706:statistics & numerical data*; D012306:Risk; D013223:Statistics as Topic / Q000379:methods; D016896:Treatment Outcome