Data

Designing engaging academic support: PhD datasets

James Cook University
Bornschlegl, Madeleine
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25903/aqnb-7g25&rft.title=Designing engaging academic support: PhD datasets&rft.identifier=10.25903/aqnb-7g25&rft.publisher=James Cook University&rft.description=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The interview recordings (.m4a) and transcripts (MS Word and PDF), SPSS Amos files (.amw) and Nvivo project (.nvp) have been archived in secure storage.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&rft.creator=Bornschlegl, Madeleine &rft.date=2022&rft.relation=https://doi.org/10.1002/rev3.3196&rft.relation=https://doi.org/10.3389/feduc.2021.738790&rft.relation=https://doi.org/10.20343/teachlearninqu.10.13&rft.coverage=James Cook University, Queensland, Australia&rft_rights=Once access to the data has been obtained via negotiation with the Data Manager, use of the dataset is governed by the CC BY 4.0 licence.&rft_rights=CC BY 4.0: Attribution 4.0 International http://creativecommons.org/licenses/by/4.0&rft_subject=academic help seeking&rft_subject=higher education&rft_subject=Theory of Planned Behaviour&rft_subject=Education not elsewhere classified&rft_subject=EDUCATION&rft_subject=OTHER EDUCATION&rft_subject=Education and Training not elsewhere classified&rft_subject=EDUCATION AND TRAINING&rft_subject=OTHER EDUCATION AND TRAINING&rft.type=dataset&rft.language=English Access the data

Licence & Rights:

Open Licence view details
CC-BY

CC BY 4.0: Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0

Once access to the data has been obtained via negotiation with the Data Manager, use of the dataset is governed by the CC BY 4.0 licence.

Access:

Conditions apply view details

Conditional: Contact researchdata@jcu.edu.au to request access to this data.

Full description

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

Created: 2022-05-09

Data time period: 03 2020 to 31 10 2020

Data time period: SP1 and SP2 2020

This dataset is part of a larger collection

Identifiers
  • Local : https://test-jcu.redboxresearchdata.com.au/data/published/b2ee78d0c43011ec96e79967aec3951f
  • DOI : 10.25903/aqnb-7g25