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Exam Absence Survey: Preliminary Analysis & Findings Presented at the Extended Management Committee 2 February 2010. Professor George Subotzky Executive Director: Information & Strategic Analysis. Acknowledgements.

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Exam Absence Survey:

Preliminary Analysis & FindingsPresented at the Extended Management Committee2 February 2010

Professor George Subotzky

Executive Director: Information & Strategic Analysis


Acknowledgements
Acknowledgements

The following staff members of DISA were involved in design, administration & analysis of this survey:

  • Hanlie Liebenberg: design

  • Yuraisha Chetty: design & oversight

  • Lerato Tladi: design, implementation, data analysis & preparation of presentation

  • George Subotzky: design, interpretation & presentation

  • Pam Pistorius: admin support


Introduction background
Introduction & Background

  • Efforts to improve Unisa’s course success rates are thwarted not only by failure, but also attrition prior to writing

  • Analyses have shown that up to 10% of students are admitted to exams, but for a variety of reasons do not write

  • At the final signoff meeting for the exam results of the 2009 Oct/Nov sitting, it was decided to investigate the reasons for this

  • Accordingly, DISA was requested to design and conduct a survey to do this and to report by the end of January


Conceptual framework method
Conceptual Framework & Method

  • At the heart of the Success & Retention model lies the assumption that non-academic factors impact as much, if not more than academic ones one student success

  • Accordingly, the survey was designed to investigate all probable reasons for exam absence – both academic & non-academic

  • 13 questions & 158 items

  • Relevant students were identified

    • Problem of not being able to distinguish absentees from results outstanding, practical & PG students)

  • Survey notification sent by e-mail & SMS with link to access electronic survey


Focus
Focus

  • Preliminary analysis – focusing on main findings

  • Subsequent analysis – focusing on relationship between variables and background demographics


Response rate
Response Rate

  • Survey population (13 Jan): 27 299

  • Response rate (25 Jan): 2 359 (8,7%) (full)

  • Response rate (2 Feb):

    • Total responses: 5 105 (19,0%)

    • Full responses: 3 747 (13,7%)

  • This represents a remarkably high response rate

  • Frantic responses from many students – part of the findings


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