15.01.2015 Views

The challenge of academic writing for Chinese students within ...

The challenge of academic writing for Chinese students within ...

The challenge of academic writing for Chinese students within ...

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

<strong>The</strong> methodology has built on – grown out <strong>of</strong> – my conceptualisation <strong>of</strong> what I am<br />

trying to understand. How I address my own questions depends upon what those<br />

questions are and how I choose to construe them. Method is not technical, but<br />

purposeful. It follows the logic <strong>of</strong> the problem under discussion. My research method<br />

and design rolls out from the substantive source <strong>of</strong> the enquiry; namely, the<br />

experience and perceptions <strong>of</strong> a particular group <strong>of</strong> overseas undergraduates studying<br />

<strong>within</strong> the UK.<br />

<strong>The</strong> approach to enquiry<br />

<strong>The</strong> approach to the data analysis is mainly qualitative. Data was collected through<br />

student participants‘ autobiographical life stories, and one-to-one in-depth interviews.<br />

Most <strong>of</strong> interviews were conducted in the participants‘ first language – Mandarin<br />

<strong>Chinese</strong>. Tape recordings <strong>of</strong> the interviews were subsequently transcribed and<br />

translated. Qualitative techniques were utilised to search <strong>for</strong> patterns and themes and<br />

to <strong>for</strong>mulate interpretations. NVivo research s<strong>of</strong>tware was used as the main tool to aid<br />

the analysis <strong>of</strong> interview data. NVivo helps researcher classify, sort and arrange<br />

unstructured in<strong>for</strong>mation, and provides a convenient tool to analyse the data and<br />

discover patterns, identify themes, glean insight and develop meaningful conclusions.<br />

<strong>The</strong> process <strong>of</strong> analysing the data was messy and complicated than I expected. Some<br />

themes I started <strong>of</strong>f were proved not as significant as I initially thought. Some other<br />

themes were turned out more important to participants. Wellington‘s (2000, p. 135)<br />

qualitative data analysis stages have provided some important guidance on data<br />

analysis. Wellington suggests following stages <strong>of</strong> data enquiry – immersion,<br />

reflecting, taking apart data, recombining data, relating and locating one‘s data,<br />

reflecting back and presenting/disseminating the data. Immersing myself in the data<br />

by listening back the interview recordings and re-reading <strong>students</strong>‘ autobiographical<br />

accounts proved both hard working and rewarding.<br />

After the data was analysed, the findings <strong>of</strong> the study were sent to the participants <strong>for</strong><br />

validation <strong>of</strong> my analysis. In the email, I asked the participants if these findings<br />

reflected their learning experience at Liverpool Hope University. Participants‘<br />

107

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!