Schroeder Norris (pantryspear4)

Conspiracy theories thrive in moments of crises because they provide straightforward answers that assist individuals in coping with threats. The COVID-19 outbreak is such a crisis and is boosted by the political turmoil related to the politicization of the pandemic in some countries. To assess the role of political partisanship, intolerance of uncertainty (IU), and conspiracy beliefs in our two criterion variables (support for COVID-19 prevention measures and compliance with social distancing), we applied an online questionnaire to 662 participants. Our results indicate direct effects of political partisanship on support for COVID-19 prevention measures and non-compliance with social distancing while IU has not directly affected any of them. We have also found a significant effect of political partisanship on conspiracy theory dimensions involving personal wellbeing (PW) and control of information (CI) but not government malfeasance (GM) ones. Moreover, beliefs in CI theories predicted non-compliance with social distancing. Intolerance of uncertainty, on its turn, predicted the three dimensions of conspiracy beliefs. As to interaction effects, belief in GM, PW, and CI conspiracy theories moderated the effect of political partisanship on support for COVID-19 prevention measures whereas only belief in GM and PW theories moderated the effect of IU on past non-compliance with social distancing. Overall, our results suggest the relevance of diminishing politicization around the virus, providing basic scientific knowledge to the general population, and assisting individuals in coping with uncertainty. Besides, these findings provide insights into developing information campaigns to instruct the population to cope with the pandemic, producing behavioral change at societal and individual levels.In the 2018 meta-analysis of Educational Psychology Review entitled "Null effects of perceptual disfluency on learning outcomes in a text-based educational context" by Xie, Zhou, and Liu, we identify some errors and inconsistencies in both the methodological approach and the reported results regarding coding and effect sizes. While from a technical point of view the meta-analysis aligns with current meta-analytical guidelines (e.g., PRISMA) and conforms to general meta-analytical requirements (e.g., considering publication bias), it exemplifies certain insufficient practices in the creation and review of meta-analysis. buy Buparlisib We criticize the lack of transparency and negligence of open-science practices in the generation and reporting of results, which complicate evaluation of the meta-analytical reproducibility, especially given the flexibility in subjective choices regarding the analytical approach and the flexibility in creating the database. Here we present a framework applicable to pre- and post-publication review on improving the Methods Reproducibility of meta-analysis. Based on considerations of the transparency and openness (TOP)-guidlines (Nosek et al. Science 348 1422-1425, 2015), the Reproducibility Enhancement Principles (REP; Stodden et al. Science 3541240-1241, 2016), and recommendations by Lakens et al. (BMC Psychology 4 Article 24, 2016), we outline Computational Reproducibility (Level 1), Computational Verification (Level 2), Analysis Reproducibility (Level 3), and Outcome Reproducibility (Level 4). Applying reproducibility checks to TRANSFER performance as the chosen outcome variable, we found Xie's and colleagues' results to be (rather) robust. Yet, regarding RECALL performance and the moderator analysis, the identified problems raise doubts about the credibility of the reported results.The objective of this study is to determine the therapeutic efficacy of allicin against Candida albicans (C. albicans) and Staphylococcus aureus (S. aureus), the common etiological agents for denture stomatitis (DS). The minimum inhibitory concentration (MICs), minimum bactericidal concentrations (MBCs) and minimum fungicidal conc