Abstract
Research into the relationship of life events and symptoms has increasingly utilized various techniques to estimate the magnitude of anticipated impact of such events. In this study we examined four procedures for scaling events from Holmes and Rahe's Schedule of Recent Experience (SRE): (1) simple count of life events; (2) life change units (LCU) computed from SRRS norms: (3) LCUs based on group specific SRRS values derived from psychiatric patients and non-patients: (4) LCUs based on each individual's own SRRS values. Although all event scaling methods yielded strong event-symptom correlations, none was significantly better than the simple count of life events. The a priori validity of weighting events based on their perceived impact may be counterbalanced by the error variance introduced by the SRRS instrument itself.
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