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This chapter focuses on women's descriptions of their own violence in nineteenth-century Ireland, as revealed in prisoner petitions held in the National Archives of Ireland. It uses the case files of women imprisoned or sentenced to death for violent crimes such as infanticide, manslaughter, murder, wounding and assault. This chapter takes an empirical approach and considers the ways that women explained and rationalised their violent acts. An analysis of the petitions offers an insight into women's views of their own violence, gendered attitudes at the time, and women's sense of the factors that might lead to a commutation of sentence. The accuracy or truthfulness of the petitions is not important in this study; instead, the chapter explores the self-image that women wanted to portray and the tactics that they opted to use to seek a reduction in their sentences. As shown in this chapter, most women emphasised their passivity: they typically claimed to be innocent, coerced or provoked into violence.

Given the implementation of a new Certified Public Accountant (CPA) licensure exam and the CPA Evolution Model Curriculum, accounting educators must integrate more advanced skills in their coursework. We illustrate how a commonly-used project in accounting classes, which teaches technical accounting content, can address skills and competencies identified by the Pathways Commission and the American Institute of Certified Public Accountants (AICPA) and, as a result, enhance skills all business school graduates need in the workplace.

We incorporate a financial statement analysis research project under a group work format in three levels of financial accounting classes. Using both quantitative and qualitative analysis, we evaluate changes in student perceptions of skills and competencies important for business graduates.

We find students perceive improvement in critical thinking, problem-solving, the ability to work with other people, their understanding of the course material, and data analysis abilities after completion of the project. We also find statistically significant increases pre-to post-project in student perceptions of their knowledge, confidence, competence, and enthusiasm with respect to accounting material.

We provide an example of how educators can align a commonly-used project with the CPA Evolution Model Curriculum, yet still meet the needs of non-accounting majors and prepare all students for future business careers. Group work has been studied and similar financial statement analysis projects have been implemented in the classroom for years. We contribute by not only extending and updating this research, but also by re-evaluating a project to determine whether it meets the shifting needs of a rapidly changing profession. By doing so, we answer recent researchers’ call for research in higher education that addresses employability and workplace skills.

This paper aims to provide a parsimonious but rigorous model to assist decision-makers to determine critical factors which can lead to higher graduation rates amongst higher education institution (HEI) participants. It predicts the odds of dropout amongst university students, using HEI data from a developing country. This is used as a basis for a Student Retention Predictive (SRP) Model to inform HEI administrators about predicted risks of attrition amongst cohorts.

A classification tool, the Logistic Regression Model, is fitted to the data set for a particular HEI in a developing country. The model is used to predict significant factors for student dropout and to create a base model for predicted risks by various student demographic variables.

To reduce dropout and to ensure higher graduation rates, the model suggests that variables such as age group, faculty, academic standing and cumulative GPA are significant. These indicative results can drive intervention strategies to improve student retention in HEIs and lessen the gap between graduates and non-graduates, with the goal of reducing socio-economic inequalities in society.

This research employs risk bands (low, medium and high) to classify students at risk of attrition or drop out. This provides invaluable insights to HEI administrators in the development of intervention strategies to reduce dropout and increase graduation rates to impact the wider public policy issue of socio-economic inequities.