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Timeline for the PSACR project in 2020. In April, only the English version of the study was available for participants. In May, Hungarian, Dutch, Polish, and Portuguese were added to the study. In the next month, French, Macedonian, Swedish, Spanish, Farsi, Norwegian, Russian, Turkish, Bulgarian, Urdu, Czech, Greek, Italian, Japanese, Slovak, Arabic, Hebrew, Filipino, and Korean were launched. In July, Croatian, German, Yoruba, Armenian, Chinese, Serbian, Finnish, Romanian, Uzbek, Bengali, Slovenian, and Hebrew were included. Languages were generally launched with its dialect variants (e.g., Dutch and Dutch-Belgian).
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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...
Citations
... A collaborator tasked with recruiting external translators, overseeing the translation process, and distributing adapted study materials 33 . ...
The replication crisis in psychology and related sciences contributed to the adoption of large-scale research initiatives known as Big Team Science (BTS). BTS has made significant advances in addressing issues of replication, statistical power, and diversity through the use of larger samples and more representative cross-cultural data. However, while these collaborations hold great potential, they also introduce unique challenges related to their scale. Drawing on experiences from successful BTS projects, we identified and outlined key strategies for overcoming diversity, volunteering, and capacity challenges. We emphasize the need for the implementation of strong organizational practices and the distribution of responsibility to prevent common pitfalls. More fundamentally, BTS requires a shift in mindset toward prioritizing collaborative effort, diversity, transparency, and inclusivity. Ultimately, we call for reflection on the strengths and limitations of BTS to enhance the quality, generalizability, and impact of research across disciplines.
... Big Team Science projects are often led by researchers from Anglo-Saxon and Global North institutions, while the contributions of researchers from the Global South are oftentimes diluted in the ordering of authors-i.e., authors from Global North tend to occupy positions of prestige such as the first, corresponding, and last author (e.g., refs. 146,147,[156][157][158][159][160][161][162] ) while researchers from Lowand Middle-income countries are compressed in the middle. Moreover, there are also challenges associated with collecting data in low-and-middle-income countries that are often not accounted for, such as limited access to polling infrastructure or technology and the gaping inequities in resources, funding, and educational opportunities. ...
The emergence of large-scale replication projects yielding successful rates substantially lower than expected caused the behavioural, cognitive, and social sciences to experience a so-called ‘replication crisis’. In this Perspective, we reframe this ‘crisis’ through the lens of a credibility revolution, focusing on positive structural, procedural and community-driven changes. Second, we outline a path to expand ongoing advances and improvements. The credibility revolution has been an impetus to several substantive changes which will have a positive, long-term impact on our research environment.
... In his own work, he shares data, analysis scripts, materials, and preprints [25][26][27][28][29][30][31][32][33][34][35] . ...
Replications of previous scientific work are essential to accumulate knowledge and accelerate scientific progress. Despite their relevance, replication studies are under-used and undercited, leading to a biased view of the literature. To facilitate the uptake of replication studies and their wider use in research, education, and policy, we propose to (1) develop and maintain a comprehensive database cataloguing replication efforts by crowdsourcing contributions; (2) develop two interactive online apps for finding, exploring and visualising replications allowing for field-specific metascientific analyses; (3) conduct outreach activities to teach how to best engage with our developed resources.
... However, it is important to critically examine some of the norms, practices, and culture associated with Big Team Science to identify areas for improvement. Big Team Science projects are often led by researchers from Anglo-Saxon and Global North institutions, while the contributions of researchers from the Global South are oftentimes diluted in the ordering of authors-i.e., authors from Global North tend to occupy positions of prestige such as the first, corresponding, and last author (e.g., 187,188,[197][198][199][200][201][202][203] ) while researchers from Low-and Middle-income countries are compressed in the middle. Moreover, there are also challenges associated with collecting data in low-and-middle-income countries that are often not accounted for, such as limited access to polling infrastructure or technology and the gaping inequities in resources, funding, and educational opportunities. ...
The emergence of large-scale replication projects yielding successful rates substantially lower than expected caused the behavioural, cognitive, and social sciences to experience a so-called ‘replication crisis’. In this Perspective, we reframe this ‘crisis’ through the lens of a credibility revolution, focusing on positive structural, procedural and community-driven changes. Second, we outline a path to expand ongoing advances and improvements. The credibility revolution has been an impetus to several substantive changes which will have a positive, long-term impact on our research environment.
A multi-wave study across two months tested changes in motivation for staying at home at the beginning of the COVID-19 outbreak in the UK and US in 683 living-alone older adults (mean age = 53 years), those that might experience greater psychological costs of being isolated for long periods of time. The study was focused on changes in two types of motivation: autonomous motivation- finding importance in the task of staying at home, and controlled motivation- staying at home because of felt pressure or choicelessness, as autonomous motivation predicts effective behavior change better than controlled motivation, especially long-term. Predictions grounded in self-determination theory (SDT) tested whether three motivating aspects of messages to stay at home from governmental and public health agencies, physicians, the news, and family and friends predicted changes in these motivations across time. Perceiving messages to stay at home as controlling predicted increases in controlled motivation and decreases in autonomous motivation over two months. Conversely, perceiving messages to stay at home as autonomy supportive predicted increases in autonomous motivation over two months. Results for mandated orders to stay at home were intriguing: they related to increases in both controlled and autonomous motivations over time. Exploratory analyses revealed that increases in autonomous motivation over time predicted actual time spent at home reported at Wave 2, whereas increases in controlled motivation did not relate. Discussion focuses on contributions to theory and public health messaging about behavioral change.
