Abstract

Building on multiple discrepancies theory (MDT) as developed by Michalos (1985, 1991), the present study seeks to extend the application of MDT by operationalizing multiple discrepancies or “gaps” between values and performance for a representative group from the sustainability movement (back-to-the-landers), and then comparing the ability of the operationalized discrepancies, in competition with a series of demographic and process variables, to explain variance in a set of subjective well-being (SWB) measures. In the analysis of variance (ANOVA) and zero-order correlation equations, the value-performance discrepancies demonstrate consistent statistically significant relationships with the SWB measures. In the multiple regression models, however, the gap variables are not as prominent as other process variables, although they do add variance to SWB, validating the general utility of MDT. It appears, though, that there are other dimensions, many of them specific to the back-to-the-land way of life, that can compensate for the discrepancies between values and performance.

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