The Psychological Science Accelerator’s COVID-19 rapid-response dataset

Abstract

In response to the COVID-19 pandemic, the Psychological Science Accelerator coordinated three large-scale psychological studies to examine the effects of loss-gain framing, cognitive reappraisals, and autonomy framing manipulations on behavioral intentions and affective measures. The data collected (April to October 2020) included specific measures for each experimental study, a general questionnaire examining health prevention behaviors and COVID-19 experience, geographical and cultural context characterization, and demographic information for each participant. Each participant started the study with the same general questions and then was randomized to complete either one longer experiment or two shorter experiments. Data were provided by 73,223 participants with varying completion rates. Participants completed the survey from 111 geopolitical regions in 44 unique languages/dialects. The anonymized dataset described here is provided in both raw and processed formats to facilitate re-use and further analyses. The dataset offers secondary analytic opportunities to explore coping, framing, and self-determination across a diverse, global sample obtained at the onset of the COVID-19 pandemic, which can be merged with other time-sampled or geographic data.

Who does big team science?

“…Generally, the movement appears to have been driven by early career researchers (i.e., those who are within five years of their first appointment) 12 ; however, there are no large meta-scientific investigations on this specific topic to date. Potentially, the lack of investigation is tied to the newness of the large-scale research in many fields, as it is only in recent years that publications like the Open Science Collaboration 13 , Many Labs Collaborations [14][15][16][17][18][19][20] or the first papers from the Psychological Science Accelerator [21][22][23][24][25][26][27] . Generally, the researcher incentive for replication was low for three reasons.…”

Tracking and Mainstreaming Replications across the Social, Behavioral and Cognitive Sciences (TRACKREP)

“…In his own work, he shares data, analysis scripts, materials, and preprints [25][26][27][28][29][30][31][32][33][34][35] .…”