In order to determine procedures for appropriate model selection of te
chnological growth curves, numerous time series that were representati
ve of growth behavior were collected and categorized according to data
characteristics. Nine different growth curve models were each fitted
onto the various data sets in an attempt to determine which growth cur
ve models achieved the best forecasts for differing types of growth da
ta. The analysis of the results gives rise to a new approach for selec
ting appropriate growth curve models for a given set of data, prior to
fitting the models, based on the characteristics of the data sets.