Development and validation of the Alcoholics Anonymous Intention Measure (AAIM)

Sarah E Zemore, Lee Ann Kaskutas, Sarah E Zemore, Lee Ann Kaskutas

Abstract

Background: Drop-out from 12-step groups is notoriously high, yet the field lacks strong models and scales for addressing this problem. We aim to determine whether the theory of planned behavior (TPB) can be applied to 12-step involvement, and to develop and validate a scale of 12-step readiness based on that theory: the Alcoholics Anonymous Intention Measure (AAIM).

Method: Data were from a longitudinal trial of a manual-guided 12-step facilitation intervention called Making AA Easier (MAAEZ) involving two treatment programs in California (N=508). Participants completed surveys at baseline, 7 weeks, 6 months, and 12 months. Surveys included the preliminary AAIM, a 12-step involvement measure, other readiness measures, and substance use outcomes.

Results: The final, 17-item AAIM measured Attitude (5-item alpha's=.75-.83), Subjective Norm (4-item alpha's=.56-.81), Perceived Control (5-item alpha's=.78-.85), and Intention (3-item alpha's=.80-.95) regarding attendance at 12-step groups. Components were correlated with each other and other readiness measures as expected, supporting the AAIM's validity. Scale components predicted 31% of the variance in Intention to attend 12-step groups at 6 months and 41% of the variance in 12-step involvement at 12 months. Social factors were among the strongest predictors of 12-step involvement. Results did not support the expectancy-value formulation of the TPB, as unweighted (vs. weighted) belief items performed optimally.

Conclusions: Results generally support the TPB as a model of 12-step involvement and suggest specific targets for 12-step facilitation interventions within attitude, norm, and control components. Findings also support the AAIM as a tool for identifying drop-out risks and tailoring individual interventions.

Figures

Figure 1. AAIM components: Prediction of Time…
Figure 1. AAIM components: Prediction of Time 3 outcomes (Model 1)
Notes. χ2(15, 322)=19.03, p=.21, CFI=0.97, TLI=0.94, RMSEA=.028. Model controls for effect of treatment type (long-term residential, short-term residential, or outpatient) on 12-step involvement.
Figure 2. AAIM components: Prediction of Time…
Figure 2. AAIM components: Prediction of Time 4 outcomes (Model 2)
Note. χ2(5, 322)=8.03, p=.15, CFI=0.98, TLI=0.93, RMSEA=.043.

Source: PubMed

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