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Men are often considered by the health care system to be a disengaged accessory when it comes to family planning. In reality they act as an equal part in the reproductive equation. Despite qualitative research suggesting some men currently do take primary responsibility for family planning, men are further marginalised being classed as an irrational variable in large national datasets. Reports ignore men in general by failing to record basic demographics, for example, age is not captured and ethnicity has two options: white and non-white. This leaves little ability to analyse men's family planning knowledge, attitudes and beliefs. Technological advancements have resulted in new forms of male contraceptive methods reaching phase III testing (from pills to gels), and the market is moving towards diversified options that will allow even more men to take primary contraceptive responsibility. Other advancements include the sexual enhancement product Viagra becoming available over the counter, and reproductive wellbeing apps have been created to allow men to test their fertility at home. Without research to understand the ever-changing landscape for men we are ill-prepared to understand what these new products and advancements mean for men's role. Using various forms of publicly available online data and previous empirical research, this chapter will review men's response to new contraceptives, sexual enhancement products, and reproductive wellbeing apps. The results will be discussed in relation to updating the Subjective Expected Utility (SEU) Theory, the Theory of Planned Behaviour and the integrated developmental and decision-making contraceptive models used by health psychologists.

In this paper, we consider the analysis of models for univariate and multivariate ordinal outcomes in the context of the latent variable inferential framework of Albert and Chib (1993). We review several alternative modeling and identification schemes and evaluate how each aids or hampers estimation by Markov chain Monte Carlo simulation methods. For each identification scheme we also discuss the question of model comparison by marginal likelihoods and Bayes factors. In addition, we develop a simulation-based framework for analyzing covariate effects that can provide interpretability of the results despite the nonlinearities in the model and the different identification restrictions that can be implemented. The methods are employed to analyze problems in labor economics (educational attainment), political economy (voter opinions), and health economics (consumers’ reliance on alternative sources of medical information).

This chapter investigates resistance initiated by trans athletes and their allies and evaluates developments in policies and practices at the international, national and local levels of sport. The limitations of liberal approaches to trans inclusion are identified, and examples of radical, transformative approaches grounded in intersectional feminism are presented, together with an analysis of the crucial roles of solidarity work provided by allies and accomplices. The potential offered by boxing as a route to empowerment for trans and nonbinary participants is examined. An overview of recent media coverage of trans athletes suggests that global resistance is having an important impact on mainstream journalism. Finally, this chapter outlines how a successful campaign challenging a trans-exclusive Sport Canada's 2022 opinion survey and a recent report by Canadian Centre for Ethics in Sport provide further evidence of effective resistance to trans exclusion in sport.