Swapping bricks for clicks: Crowdsourcing longitudinal data on Amazon Turk

Locating reliable sources of generalizable longitudinal data is an extremely important issue for business research. The aim of this paper was to empirically verify that crowdsourcing can be used to source longitudinal samples. Specifically, three studies assess reliability of the Amazon Mechanical Turk Marketplace (MTurk). All three studies demonstrate that MTurk is a reliable, inexpensive source for generalizable longitudinal data. Study 1 (n = 752) examines the two-month re-response rate (study 1, n = 752; 75%) of a US MTurk sample. Study 2 (n = 373) investigates the four- and eight-month re-response rate (56 and 38%, respectively) of a US immigrant sample. Study 3 examines the thirteen-month re-response rate (47%). Each study demonstrates minimal non-response biases and longitudinal response consistency, in terms of both demographics and personality traits. This study also independently verifies the accuracy of self-report state of residence for 94% of the participants.