We recruited a sample of emerging adults ages 18-29 (n=274) using Amazon’s Mechanical Turk (MTurk), an online community of workers. This final analysis sample was after we excluded participants that did not answer validations questions correctly (i.e., please select response “5”; n=8) or those with unreasonably fast completion times (n=10). MTurk data has been found to be reliable, accurately replicating results from in-person studies, when following such procedures. Participants completed the EARS, as well as the AUDIT, a widely used and reliable measure of drinking behaviors. We completed confirmatory factor analyses using MPlus to examine whether our hypothesized measurement model fit the data. Additionally, we calculated correlations between the three hypothesized subscales of the EARS and the AUDIT.
Fit for the three factor model previously identified in EFA was adequate (RSMEA: .09, CFI: .81, TLI, .79), with three subscales that we labeled subjective invulnerability (7-items, α=.865), normative expectancies (10-items; α=.898), and developmental strain (10-items; α=.947). Correlations (p<.05) with the AUDIT were .14, .32, and .32 for the subjective invulnerability, normative expectancies and developmental strain scales, respectively.
Findings support the use of the EARS as a measure of developmental reasons for using substances in accordance with Arnett’s (2000) theory. As past findings have produced mixed results, it is encouraging that we found a consistent pattern of associations between EARS subscales and risky drinking. Future studies should determine if these developmental reasons for using substances predict actual treatment outcomes, which could help us tailor treatments to emerging adults. Additionally, future research could determine if college status or age of onset moderates the associations between EARS subscales and risky alcohol use, which would have important implications for theory revision.