Abstract

This paper explores disciplinary variations in academic promotional writing via a comparative analysis of statements of purpose (SoPs) written for different disciplines. A total of 100 SoPs written by English as an additional language (EAL) applicants from mainland China were collected, which were drawn from five academic disciplines: business, engineering, humanities, science and social science. Following a corpus-driven research design, these SoP samples were analyzed in terms of their lexico-grammatical and rhetorical features. The data analysis suggests that although on the surface these SoP samples share similarities in lexico-grammatical and rhetorical features, they are quite different in terms of their preferred persuasion strategies. While SoPs written for engineering and science primarily base their self-promotional arguments upon the applicants’ previous research experiences and future research prospects, those written for business, humanities and social science tend to focus on how the applicants’ unique Chinese socio-cultural backgrounds would contribute to their desired programs. The above finding sheds light upon how academic genres are invariably embedded in disciplinary practices, with each discipline having its own communicative purposes, discourse community members, academic expectations and disciplinary constraints.

Highlights

  • Statements of purpose (SoPs), known as personal statements, are self-narrative essays required by the graduate application processes of most universities in the West

  • Data and research method The present study focused on the SoP genre’s potential disciplinary variations in lexico-grammatical and rhetorical features by examining SoP samples written for five academic disciplines: humanities, business, engineering, social science and science

  • Following a corpus-driven, bottom-up analytical procedure, the study has revealed a somewhat surprising picture, finding that there are noticeable differences between SoPs written for the Arts division and those written for the scientific disciplines “Li-Ke” (Science) division

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Summary

Introduction

The average length ratios of the “ECresearch experience” step follows the EC move’s pattern, with the Science division having higher average ratios than the Arts division. This pattern is reversed in the “EC-other experience” and “RA-positive gains” steps, with the Arts division having the higher average ratios. The social science corpus stands out among others in its high average ratio in the “RA-disciplinary/research reasons” step. The one-way ANOVA test identifies statistical significance in the “EC-research experience” step (p = 0.029) and the “RA-disciplinary/research reasons” step (p = 0.016)

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