Is Amazon's Mechanical Turk (MTurk) a comparable recruitment source for trauma studies?

OBJECTIVE

Trauma researchers have recently begun using Amazon's Mechanical Turk (MTurk) as a data collection platform that is both time- and cost-efficient. Research is needed to determine the utility, generalizability, and validity of MTurk as a recruitment source for trauma-exposed samples.

METHOD

Data were collected from 266 trauma-exposed MTurk participants on several clinical and psychological constructs relevant to trauma research. The mean scores, prevalence rates, and correlation strengths of the MTurk sample were compared to those reported in previously published studies of undergraduate, community, and treatment-seeking samples.

RESULTS

Findings indicated that prevalence rates of posttraumatic stress disorder (PTSD) and depression were not significantly different from comparison samples, but prevalence rates of generalized anxiety were significantly higher than that of a community sample. The MTurk sample showed significantly lower mean scores of PTSD, depression, and generalized anxiety symptoms than all comparison samples. Correlations were examined to determine whether established relationships between common trauma-related constructs were correlated for MTurk participants as they were in other samples. Correlations between PTSD symptom severity, posttraumatic cognitions (PTCs), and trauma coping self-efficacy (CSE-T) in the MTurk sample were not significantly different from the correlations observed in all comparison samples. Finally, MTurk participants who met criteria for probable PTSD scored significantly higher on measures of depression, generalized anxiety, and PTCs, and lower on CSE-T, than those without probable PTSD.

CONCLUSIONS

Future trauma researchers utilizing MTurk should consider potential similarities and differences between MTurk samples and community, clinical, and undergraduate samples when interpreting the generalizability of findings. (PsycInfo Database Record (c) 2020 APA, all rights reserved).