Chinese Students' Cross Cultural Adaptation experience

This dataset contains information from Study 1 and Study 2 for this project including interviews, journal transcriptions, audio recordings, Excel & SPSS Output.
Study 1 relates to the first part of this mixed-methods study, i.e. quantitative data analysis component including audio recordings, Excel and SPSS output, which investigated the cross-cultural adaptation (CCA) experiences of Chinese international students (CIS) studying in Australia. Data collection for the quantitative component took place during the Autumn semester (February to April) of 2015, whereby 133 CIS from the same university in the Sydney metropolitan area participated in this study (whereby the was 30 partial completions and 103 fully completed responses). The dataset comprised of SPSS Data (with corresponding pdf printoout) regarding Chinese students' L2 motivation, identity change, academic & sociocultural adjustment obtained from main Excel dataset.
There was also audio recordings as well as a an excel spreadsheet of a modified Myers-Briggs responses from Study 2, i.e., the qualitative study, which was added as raw data, whereby the interview transcriptions of the audio recordings is found in the dataset for Study 2.
Attached data is from Study 2, i.e., the qualitative component, of the mixed methods study investigating the cross-cultural adaptation (CCA) experiences of Chinese international students (CIS) in Australia. The data collection for this component of the study was conducted between 2017 to 2019, and involved 15 CIS who resided in mainland China who embarked on their first year residing and studying in Australia. These participants came from the same university in the Sydney metropolitan area. The dataset comprises of the interviews (derived from audio recordings) and diary journal entries of their CCA experiences as part of this short-term (3-month) longitudinal study.
The dataset contains sensitive data that cannot be published. To discuss the data, please contact Dennis Lam [e-mail] ORCID 0000-0002-7199-4378