Designing engaging academic support: PhD datasets

Data was collected for a PhD research project. The project investigated factors related to academic help-seeking behaviour in higher education using quantitative and qualitative methods. Quantitative data was collected via an online survey. Qualitative data was collected via semi-structured interviews. These were conducted via video calls.
It was found that reducing stigma, increasing positive attitudes and subjective norm, ensuring satisfaction, and providing timely and targeted promotion increase engagement with academic support. Universities can use these findings to improve academic support and ultimately student success.
The data methods are available in the Open Access publications from the Related publications link below.
The de-identified quantitative dataset is stored as an SPSS file (.sav). The SPSS files have also been exported in MS Excel (.xlxs) and CSV formats with the value labels. These files are available via conditional access i.e. negotiation with the Data Manager. The SPSS variable information and labels (codebook) are saved as a PDF file and can be downloaded and viewed (for context) via the link below.
The interview recordings (.m4a) and transcripts (MS Word and PDF), SPSS Amos files (.amw) and Nvivo project (.nvp) have been archived in secure storage. Access to these files is restricted.
Software/equipment used to create/collect the data: Qualtrics, Zoom
Software/equipment used to manipulate/analyse the data: SPSS, SPSS Amos, NVivo