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satisfaction at t1 predicts change in dependence when other factors are accounted for was further investigated in regression analysis reported below.
9.2.9 Dependence and time
As the specific dates of follow-up were reported, it was possible to compute the time lapse between measurements in order to explore the question of the influence of time as a factor in change. No significant correlations were found between the amount of change in LDQ score and the time that had lapsed to follow-up at either of the follow-up points.
Table 9.19 Correlations among measures of dependence and social dissatisfaction. Factor 1 refers to dissatisfaction with home life and relationships, factor 2 refers to dissatisfaction with activities external to the home. Spearman’s rho correlation coefficients: Sample 6c (n=101).
social dissatisfaction
t1 factor 1 t1 factor 2 t2 factor 1 t2 factor 2 t3 factor 1 t3 factor 2
* p < .05 (1-tailed) ** p < .01 (1-tailed)
LDQ t1
.04 .19*
LDQ LDQ t2 t3
.41** .45**
.07 .39**
9.3 Independence of the variables
LDQ change t1-t2
-.3** -.35**
LDQ change t2-t3
-.06 -.28**
LDQ change t1-t3
-.03 -.28**
The Leeds Dependence Questionnaire (LDQ) and the rationale for its use were described in Chapter Three; the General Health Questionnaire (GHQ) and the Social Satisfaction Questionnaire (SSQ) were described in Chapter Seven as instruments used in the routine evaluation of outcome at the study agency. The rationale for their use has been the assertion that they measure variables which are different to dependence though correlated with it and that they tap into areas that are of concern in people with addiction problems. Such correlations were thought to be of sufficient significance to merit their inclusion in a model of the potential predictors of change in dependence. The Coping Behaviours Inventory was described in Chapter Six as an instrument capable of
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