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The Society for the Improvement of Psychological Science (SIPS) is an organization whose mission focuses on bringing together scholars who want to improve methods and practices in psychological science. The organization reaffirmed in June 2020 that “[we] cannot do good science without diverse voices,” and acknowledged that “right now the demographics of SIPS are unrepresentative of the field of psychology, which is in turn unrepresentative of the global population. We have work to do when it comes to better supporting Black scholars and other underrepresented minorities.” The purpose of the Global Engagement Task Force, started in January 2020, was to explore suggestions made after the 2019 Annual Conference, held in Rotterdam, the Netherlands, around inclusion and access for scholars from regions outside of the United States, Canada, and Western Europe (described in the report as “geographically diverse” regions), a task complicated by the COVID-19 pandemic and civil unrest in several task force members’ countries of residence. This report outlines several suggestions, specifically around building partnerships with geographically diverse open science organizations; increasing SIPS presence at other, more local events; diversifying remote events; considering geographically diverse annual conference locations; improving membership and financial resources; and surveying open science practitioners from geographically diverse regions.

International audience; The attentional spatial-numerical association of response codes (Att-SNARC) effect (Fischer, Castel, Dodd, & Pratt, 2003)-the finding that participants are quicker to detect left-side targets when the targets are preceded by small numbers and quicker to detect right-side targets when they are preceded by large numbers-has been used as evidence for embodied number representations and to support strong claims about the link between number and space (e.g., a mental number line). We attempted to replicate Experiment 2 of Fischer et al. by collecting data from 1,105 participants at 17 labs. Across all 1,105 participants and four interstimulus-interval conditions, the proportion of times the effect we observed was positive (i.e., directionally consistent with the original effect) was .50. Further, the effects we observed both within and across labs were minuscule and incompatible with those observed by Fischer et al. Given this, we conclude that we failed to replicate the effect reported by Fischer et al. In addition, our analysis of several participantlevel moderators (finger-counting habits, reading and writing direction, handedness, and mathematics fluency and mathematics anxiety) revealed no substantial moderating effects. Our results indicate that the Att-SNARC effect cannot be used as evidence to support strong claims about the link between number and space.

Source at https://doi.org/10.1177/2515245918797607. Concerns about the veracity of psychological research have been growing. Many findings in psychological science are based on studies with insufficient statistical power and nonrepresentative samples, or may otherwise be limited to specific, ungeneralizable settings or populations. Crowdsourced research, a type of large-scale collaboration in which one or more research projects are conducted across multiple lab sites, offers a pragmatic solution to these and other current methodological challenges. The Psychological Science Accelerator (PSA) is a distributed network of laboratories designed to enable and support crowdsourced research projects. These projects can focus on novel research questions or replicate prior research in large, diverse samples. The PSA’s mission is to accelerate the accumulation of reliable and generalizable evidence in psychological science. Here, we describe the background, structure, principles, procedures, benefits, and challenges of the PSA. In contrast to other crowdsourced research networks, the PSA is ongoing (as opposed to time limited), efficient (in that structures and principles are reused for different projects), decentralized, diverse (in both subjects and researchers), and inclusive (of proposals, contributions, and other relevant input from anyone inside or outside the network). The PSA and other approaches to crowdsourced psychological science will advance understanding of mental processes and behaviors by enabling rigorous research and systematic examination of its generalizability.

Although regularity refers to the compatibility between pronunciation of character and sound of phonetic component, it has been suggested as being part of consistency, which is defined by neighborhood characteristics. Two experiments demonstrate how regularity effect is amplified or reduced by neighborhood characteristics and reveals the regularity effect without the confounding of neighboring characters. Experiment 1 examined the regularity effects of characters with more than one neighboring character, the results of which indicated that the consistency of irregular characters decides the patterns of regularity effects. Experiment 2 included characters without neighboring characters and measured the interaction of character frequency and regularity effect. The interactions of the characters with neighboring characters were reduced by the neighborhood characteristics of irregular characters, but a marginal interaction was found for characters without neighboring characters. The theoretical implication that regularity is acquired from lexical knowledge of phonetic components rather than accumulated from neighboring characters is discussed.