0 - National Criminal Justice Reference Service
0 - National Criminal Justice Reference Service
0 - National Criminal Justice Reference Service
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While appropriate statistical controls andlor matching are required to adjust for these<br />
initial selection differences,” results shown in Table 6 clearly indicate that the majority of inmates<br />
in the sample, regardless of program type, were classified as high-need. We thus have a fortunate<br />
situation in terms of research design (i.e., many high-need inmates are present in programs of<br />
dramatically different treatment dosages), but an unfortunate one in terms of responsivity (i.e.,<br />
there are simply not enough TC beds to assign all high-need inmates to high-intensity treatment<br />
I<br />
I<br />
programs, with the result that many inmates must receive some form of less intensive treatment).<br />
Analytic Approach<br />
Following previous efforts established through this research partnership, two<br />
comprehensive databases were assembled: one inmate-specific, the other program-specific<br />
0<br />
(Welsh, 2000% 2000b). These databases guided post-release inmate tracking and analyses of<br />
relationships between treatment process and outcomes. We were thus able to track an inmate<br />
before, during, and after treatment, and we were able to factor into our analyses individual inmate<br />
characteristics as well as programmatic variations (e.g., treatment intensity and duration) that<br />
could influence treatment outcomes. This approach should help advance our ability to separate<br />
individual from contextual (programmatic) factors that idhence treatment.<br />
Analyses of outcome employed several techniques including multivariate analysis of<br />
variance, logistic regression and survival analyses. For example, we examined various withinsubject<br />
changes over time (e.g., improvement in psychological functioning, changes in inmate<br />
participation in treatment), as well as between-subjects factors (e.g., programmatic features) that<br />
may influence treatment process and outcomes. Logistic regression was usefbl for examining<br />
0<br />
l9 <strong>Criminal</strong> history and level of substance abuse problem often drive observed outcomes for this<br />
popuIation (Andrews et al., 1990; Bonta, 1996; Farabee et al., 1999; Fletcher and Tims, 1992;<br />
66<br />
This document is a research report submitted to the U.S. Department of <strong>Justice</strong>. This report has not<br />
been published by the Department. Opinions or points of view expressed are those of the author(s)<br />
and do not necessarily reflect the official position or policies of the U.S. Department of <strong>Justice</strong>.