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This study provides evidence on the relationship between scale characteristics and participant responses for percentage-based scales (i.e., 101 points) in accounting research. A 4 × 1 between-subjects experiment examines how common labeling designs affect various statistical properties, including means, variance, normality of the distribution, and frequency of responses. The results indicate that labels on percentage-based scales have a significant impact on the distribution of participants' responses. Labeling only the endpoints is the lone condition that results in normally distributed data. Additional analyses suggest that labels on percentage-based scales influence participant responses in multiple ways. First, as the number of labels increases, participants may not adequately consider, and thus ultimately select, unlabeled points. Second, while participants seem to inherently interpret percentage-based scales in quartiles and deciles, labeling as such exacerbates this tendency. Finally, when more labels are present, participants seem to engage an anchoring heuristic when selecting their response. Taken as a whole, the results suggest that accounting researchers may benefit from labeling only the endpoints of percentage-based scales.

In private values settings, the Wickrey-Clarke-Groves (VCG) mechanism leads to efficient auction outcomes, while the theoretical properties of the Simultaneous Ascending (SA) auction are not well understood. This leads us to compare the properties of an SA and a VCG auction in an experimental setting with private values for multiple objects having complementarities. Statistically, we find little to distinguish the two auctions with both auction forms achieving more than 98% efficiency and extracting roughly 95% of the available surplus. Finally, in contrast to experimental results in single object VCG settings, the theoretical prediction of demand revelation in the multiple object VCG auction is largely supported in our experiments.

In interviews, Jamie Lee Curtis positions Halloween (2018) as a #MeToo film. As merely self-serving publicity, this reading is far too simplistic. In Halloween (1978) Laurie Strode is victimised; she then assumes the role of quintessential Final Girl as described by Carol J. Clover, providing the template for the entire sub-genre of horror slasher films birthed in its wake. However, in the similarly titled 2018 film, Laurie is no longer a victim. Instead of following the role of the stereotypical Final Girl of slasher films, she falls more in line with one of Yvonne Tasker's Warrior Women.

This chapter investigates Laurie Strode's transformation throughout the Halloween franchise. Once passive and victimised, Laurie has evolved: No longer the Final Girl – or victim – her position and behaviour in this film is much more in line with the neoliberal Warrior Woman of action films. Thus, the film assigns her the role of action heroine as a vehicle for responding to the concerns of the #MeToo era – and in this era, women are no longer victims. Women can and will fight back.

Increasingly, schools are embracing action research as an innovative strategy to develop collective teacher efficacy and expertise in a bid to improve learner outcomes. In this chapter, what follows is an exploration of the challenges frequently faced by middle leaders implementing and facilitating action research in schools. These include low levels of collective autonomy, clouded evaluative thinking, and the siloing of success. To support middle leaders in overcoming these challenges, Sarah and Pamela offer an array of practical solutions they have witnessed working successfully in varying contexts. In doing so, they spotlight the work of educational thought leaders, Michael Fullan, Professor Emeritus Helen Timperley, Dr Kaye Twyford, and Simon Breakspear.

This chapter explores the development of middle leaders in the specific context of Catholic schools. It considers the interplay between contemporary thinking on educational leadership and the insights of Catholic theology and ministry. Two key themes foundational to this interplay are examined: the connection between leading and following, and the central importance of relationships for leadership. For each of these themes, the reader is provided with related questions for middle leaders in a Catholic school context, an activity for engaging with leaders, and an exercise inviting middle school leaders to reflect on their own experience and the context within which they lead.

Tremendous measure of data lakes with the exponential mounting rate is produced by the present healthcare sector. The information from differing sources like electronic wellbeing record, clinical information, streaming information from sensors, biomedical image data, biomedical signal information, lab data, and so on brand it substantial as well as mind-boggling as far as changing information positions, which have stressed the abilities of prevailing regular database frameworks in terms of scalability, storage of unstructured data, concurrency, and cost. Big data solutions step in the picture by harnessing these colossal, assorted, and multipart data indexes to accomplish progressively important and learned patterns. The reconciliation of multimodal information seeking after removing the relationship among the unstructured information types is a hotly debated issue these days. Big data energizes in triumphing the bits of knowledge from these immense expanses of information. Big data is a term which is required to take care of the issues of volume, velocity, and variety generally seated in the medicinal services data. This work plans to exhibit a survey of the writing of big data arrangements in the medicinal services part, the potential changes, challenges, and accessible stages and philosophies to execute enormous information investigation in the healthcare sector. The work categories the big healthcare data (BHD) applications in five broad categories, followed by a prolific review of each sphere, and also offers some practical available real-life applications of BHD solutions.