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Alcohol and Alcoholism Advance Access published online on May 17, 2007
Alcohol and Alcoholism, doi:10.1093/alcalc/agm012
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The Author 2007. Published by Oxford University Press on behalf of the Medical Council on Alcohol.

A factor analysis of the important people inventory

David R. Groh1,*, Bradley D. Olson2, Leonard A. Jason1, Margaret I. Davis3 and Joseph R. Ferrari4

1 Center for Community Research, DePaul University, Chicago, IL, USA
2 Foley Center for the Study of Lives, Northwestern University, USA
3 Department of Psychology, DePaul University, USA
4 Department of Psychology, Dickinson College, USA

* Author to whom correspondence should be addressed at: Center for Community Research, DePaul University, 990 W. Fullerton Ave., Chicago, IL 60614, USA. Tel: 773-325-4771; Fax: 773-325-4923; E-mail: dgroh{at}depaul.edu

Received 7 November 2006; first review notified 4 December 2006; in revised form 24 February 2007; accepted 26 February 2007


  Abstract

Aims:For well over a decade, the Important People Inventory (IP, Clifford and Longabaugh, 1991; Clifford et al., 1992) has been used to collect a wide range of valuable information regarding network support for alcohol use. However, because of psychometric limitations and varied adaptations of the IP, the following study performed factor analyses to develop a more structurally consistent model of the scaleas compared to the existing model.Methods A first principal components analysis (Varimax rotation) was run on the indices of the IP using data from a national investigation of residents within a recovery community (N = 897). Next, a second principal components analysis was run using data collected from participants recruited from inpatient treatment settings (N = 150).Results Results indicated a nine-index, three-factor model, which explained about two thirds of the common variance. These three factors included: Support for Drinking from Network Members (3 items), Drinking Behaviours of Network Members (3 items), and General Social Support (3 items).ConclusionsResults of both studies suggest that the IP fits a multi-component structure. It is recommended that Drinking Behaviours of Network Members be examined for predictive validity and that General Social Support be removed from the scale or have additional items added.


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