3. Conclusions
This new methodological approach of determining the Beta coefficient significance based on confirmatory factor
analysis using hierarchical multiple regression analysis, statistically recognizes curvilinear relationship by observing
the changing sign of the Beta form step 1 to step 2. If both coefficients are statistically significant and Model 2
brings incremental value to the overall fitting, than we are measuring an asymptotic/curvilinear relationship between
the predictor variable and criterion variable. We must be fully aware of the fact that the beneficial aspect (job
performance) is ceasing to produce the desired outcome (job satisfaction), on the contrary, it starts producing an
unwanted outcome, decreased job satisfaction. This inference could throw many beneficial psychological factors
into the “gray” zone, meaning that once acknowledging the TMGT effect in organizational contexts, one may
carefully make inferences based on the fact that well-known beneficial aspects, under certain circumstances can lead
you to other results than expected.
Altogether, these findings prove the complex context of organizational research, which can no longer evolve
under the monotonic relationships and imposed thresholds paradigms. As the TMGT effect suggests, researchers in
the field of organizational psychology should hypothesize and test the possibility that relatively high levels of
otherwise beneficial antecedents (excellent job performance) may lead to unexpected or undesired outcomes (like
decreased job satisfaction), in a particular organizational context.