The replication crisis has prompted many to call for statistical reform within the psychological sciences. Here we examine issues within Frequentist statistics that may have led to the replication crisis, and we examine the alternative—Bayesian statistics—that many have suggested as a replacement. The Frequentist approach and the Bayesian approach offer radically different perspectives on evidence and inference with the Frequentist approach prioritising error control and the Bayesian approach offering a formal method for quantifying the relative strength of evidence for hypotheses. (...) We suggest that rather than mere statistical reform, what is needed is a better understanding of the different modes of statistical inference and a better understanding of how statistical inference relates to scientific inference. (shrink)

In this chapter, we assess the current state-of-the-art of the Hungarian sharing economy sector relying on statistics, previous surveys, and expert interviews around case examples. Although we record a fast emergence of an increasing number and a widening variety of multinational and home-grown initiatives, we also contend that in Hungary, the innovation ecosystem of the collaborative economy is still relatively feeble. The linkages that are created through these initiatives are controversial sociologically. The main end-users are highly educated young urbanites. In (...) contrast, on the service provider front, the non-formal workforce is quite vulnerable as the current regulations hardly provide any protection to platform workers. The motivations of the key players in the sector are varied, as only a few locally based initiatives are transformative. In contrast, most examples are solely linked to finding new business opportunities in a shrinking economy. (shrink)