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YF Yang Fang
MS Michael Soljak
ST Shawn Lien Ler Tan
HS Helen E. Smith
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Descriptive statistics were used to present an overview of the quantitative data. Where applicable, principal component analysis [30] was used to reduce questions with multiple items into a few dimensions to increase explanatory power. An overall multivariable regression analysis [31] was conducted to identify the factors that best predict medical students’ likelihood of pursuing primary care careers. All statistical analyses were conducted in SPSS Version 22 [32]. Free-text data underwent thematic content analysis [33].

Ethics approval was obtained from the Institutional Review Board, Nanyang Technological University (IRB-2018-07-007).

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