ABSTRACT
This chapter is a representation of both the qualitative data and quantitative data gleaned from the thematic analysis of participant interviews and factor analysis of participant responses to questionnaires, respectively. It addresses research objective four, which is to use culture-specific knowledge to develop a unique scale that can support the appreciation and application of this research in Singapore. To supplement these analytical findings, the 2 × 2 between factor ANOVA results were discussed in relation to the differences that were identified between participants of different gender and level of sport involvement in terms of their SSCQ and SSPQ scores. From the discussions in previous empirical chapters, it is clear that an elite sport environment that enforces more meaningful forms of practice, such as emphasising and actualising athlete health and well-being in and beyond sport (see Chapter Four), alongside consistent, collaborative, holistic, and bespoke sport science support (see Chapter Five), will be beneficial for long-term athlete development and performance. However, Singapore's engineered inclination for measurable outcomes, since its inception as an independent nation in 1965 (see Chapter Three), may have hindered the fulfilment of the nation's aspirations for homegrown Olympic champions, in spite of having an ideal institutionalised elite sport system (e.g., Aplin, 1998; Brooke, 2014; Horton, 2002; McNeill et al., 2003; Phan, 2013; Teo, 2008; see Chapter Four). As such, this research presents an opportunity to address the tiny variations within the current elite sport ecosystem through understanding and appreciating the possible nuanced organisational processes that, with revision, can generate more favourable progress and aid the fulfilment of desired outcomes. To effectively communicate this complex information in its simplest form for convenient consumption and application, this chapter visually illustrates and narrates the quantitative findings from Chapter Seven at both a macro-level (e.g., environmental or organisational factors) and micro-level (e.g., individual or personal factors) as ordered by the factor grouping and loadings from the CFA.
