Joseph K. Goodman

TL;DR: The authors compared Mechanical Turk participants with community and student samples on a set of personality dimensions and classic decision-making biases and found that MTurk participants are less extraverted and have lower self-esteem than other participants, presenting challenges for some research domains.

TL;DR: MTurk offers a highly valuable opportunity for data collection, and it is recommended that researchers using MTurk include screening questions that gauge attention and language comprehension, avoid questions with factual answers, and consider how individual differences in financial and social domains may influence results.

TL;DR: In a meta-analysis of 99 observations reported by prior research, this paper identified four key factors that moderate the impact of assortment size on choice overload: choice set complexity, decision task difficulty, preference uncertainty, and decision goal.

TL;DR: This tutorial assesses the evidence on the reliability of crowdsourced populations and the conditions under which crowdsourcing is a valid strategy for data collection, and proposes specific guidelines for researchers to conduct high-quality research via crowdsourcing.

TL;DR: For instance, this article found that for purchases that turned out positively, experiential purchases lead to more happiness than do material purchases, as the experience recommendation suggests, and that for those purchases that turn out negatively, experiences have no benefit over (and induce significantly less happiness than) material possessions.