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The interview recordings (.m4a) and transcripts (MS Word and PDF), SPSS Amos files (.amw) and Nvivo project (.nvp) have been archived in secure storage.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

    Data Record Details
    Data record related to this publication Datasets PhD Madeleine Bornschlegl
    Data Publication title Designing engaging academic support: PhD datasets
  • 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

  • Other Descriptors
    • Descriptor
    • Descriptor type
  • Data type dataset
  • Keywords
    • academic help seeking
    • higher education
    • Theory of Planned Behaviour
  • Funding source
  • Research grant(s)/Scheme name(s)
    • -
  • Research themes
    People and Societies in the Tropics
    FoR Codes (*)
    SEO Codes
    Specify spatial or temporal setting of the data
    Temporal (time) coverage
  • Start Date 2020/03/01
  • End Date 2020/10/31
  • Time Period SP1 and SP2 2020
    Spatial (location) coverage
  • Locations
    • James Cook University, Queensland, Australia
    Data Locations

    Type Location Notes
    Attachment SPSS Variables.pdf SPSS variable information and labels saved in PDF format
    The Data Manager is: Nerina Caltabiano
    College or Centre College of Healthcare Sciences
    Access conditions Conditional: Contact researchdata@jcu.edu.au to request access to this data.
  • Alternative access conditions
  • Data record size
  • Related publications
      Name Bornschlegl, Madeleine, Meldrum, Kathryn, and Caltabiano, Nerina J. (2020) Variables related to academic help-seeking behaviour in higher education - findings from a multidisciplinary perspective. Review of Education, 8 (2). pp. 486-522.
    • URL https://doi.org/10.1002/rev3.3196
    • Notes Systematic scoping review
    • Name Bornschlegl, Madeleine, Townshend, Kishani, and Caltabiano, Nerina (2021) Application of the Theory of Planned Behavior to identify variables related to academic help seeking in higher education. Frontiers in Education, 6. 738790.
    • URL https://doi.org/10.3389/feduc.2021.738790
    • Notes Open Access; Includes methodology for the quantitative data collection
    • Name Bornschlegl, Madeleine, and Caltabiano, Nerina Jane (2022) Increasing accessibility to academic support in higher education for diverse student cohorts. Teaching & Learning Inquiry, 10. pp. 1-18.
    • URL https://doi.org/10.20343/teachlearninqu.10.13
    • Notes Open Access; Includes methodology for the qualitative data collection
  • Related websites
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    • URL
    • Notes
  • Related metadata (including standards, codebooks, vocabularies, thesauri, ontologies)
      Name
    • URL
    • Notes
  • Related data
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    • URL
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  • Related services
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    • Notes
    Select or add a licence for the data
    The data will be licensed under CC BY 4.0: Attribution 4.0 International
  • Other Licence
  • Statement of rights in data 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.
  • Data owners
      Madeleine Bornschlegl
    Citation Bornschlegl, Madeleine (2022): Designing engaging academic support: PhD datasets. James Cook University. https://doi.org/10.25903/aqnb-7g25