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Exam Absence Survey: Preliminary Analysis & Findings Presented at STLSC 15 February 2010

Exam Absence Survey: Preliminary Analysis & Findings Presented at STLSC 15 February 2010. Professor George Subotzky Executive Director: Information & Strategic Analysis. Acknowledgements.

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Exam Absence Survey: Preliminary Analysis & Findings Presented at STLSC 15 February 2010

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  1. Exam Absence Survey: Preliminary Analysis & FindingsPresented at STLSC15 February 2010 Professor George Subotzky Executive Director: Information & Strategic Analysis

  2. 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

  3. 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

  4. 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

  5. Focus • Preliminary analysis – focusing on main findings • Subsequent analysis – focusing on relationship between variables and background demographics

  6. Response Rate • Survey population (13 Jan): 27 299 • Response rate (25 Jan): 2 359 (8,7%) (full) • Response rate (2 Feb): • Total responses: 5 318 (19,5%) • Full responses: 3 891 (14,3%) • This represents a remarkably high response rate • Frantic responses from many students – part of the findings

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