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Review
. 2006 May;14(2):265-73.
doi: 10.1037/1064-1297.14.2.265.

Analytic complexities associated with group therapy in substance abuse treatment research: problems, recommendations, and future directions

Affiliations
Review

Analytic complexities associated with group therapy in substance abuse treatment research: problems, recommendations, and future directions

Antonio A Morgan-Lopez et al. Exp Clin Psychopharmacol. 2006 May.

Abstract

In community-based alcoholism and drug abuse treatment programs, the vast majority of interventions are delivered in a group therapy context. In turn, treatment providers and funding agencies have called for more research on interventions delivered in groups in an effort to make the emerging empirical literature on the treatment of substance abuse more ecologically valid. Unfortunately, the complexity of data structures derived from therapy groups (because of member interdependence and changing membership over time) and the present lack of statistically valid and generally accepted approaches to analyzing these data have had a significant stifling effect on group therapy research. This article (a) describes the analytic challenges inherent in data generated from therapy groups, (b) outlines common (but flawed) analytic and design approaches investigators often use to address these issues (e.g., ignoring group-level nesting, treating data from therapy groups with changing membership as fully hierarchical), and (c) provides recommendations for handling data from therapy groups using presently available methods. In addition, promising data-analytic frameworks that may eventually serve as foundations for the development of more appropriate analytic methods for data from group therapy research (i.e., nonhierarchical data modeling, pattern-mixture approaches) are also briefly described. Although there are other substantial obstacles that impede rigorous research on therapy groups (e.g., evaluation and measurement of group process, limited control over treatment delivery ingredients), addressing data-analytic problems is critical for improving the accuracy of statistical inferences made from research on ecologically valid group-based substance abuse interventions.

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Figures

Figure 1
Figure 1
Diagram of a rolling group admission sequence during a 5-week period. Note. GL = Group Leader. Numbers contained within circles represent group members. Numbers in groups that are bolded, italicized, and underlined represent new members added to the group in a given week. In this group, there are five original members, as illustrated for Week 1 and members numbered 1 through 5. The next week (Week 2), a new member is added (i.e., “rolls” into) to the group (Member number 6, in enlarged, bolded, italicized, and underlined type) and one member from Week 1 (Member 3) is a “no-show.” In Week 3, two new members roll into the group (Members 7 and 8); Member 3 has returned, but Member 2 is not present and is a dropout (i.e., does not attend any other groups). In Week 4, no new members roll in; Members 5, 6, and 8 do not attend. Member 6 is a dropout. In Week 5, two new group members roll in (i.e., Members 9 and 10); Member 8 returns for this group.

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