Post-Data Collection

Target Group: Masters and Doctoral students starting out in quantitative research

Overview: The post-data collection course provides guidance on selecting and performing the appropriate statistical analyses for your study to ensure that your research question is adequately addressed. The Post-data collection section should be completed as soon as your data collection process has been completed.

This course, together with the pre-data collection course, aims to equip researchers with the skills necessary to facilitate their own data collection, management and analysis. 

The aim of both these courses is to empower and educate participants on the basic methodologies, terminologies and statistical techniques required for quantitative research. By the end of the courses, participants should have the confidence and skills to undertake their own quantitative research independently, from start to finish. This includes everything from conceptualizing the research to performing the statistical analyses. International standards require that postgraduate students perform all their own statistical analyses for their research. Although one may seek the guidance of a statistician, the actual work needs to be done by the student themselves. It may seem a little daunting at first but being the primary person responsible for all aspects of the study will make interpreting and writing up the results that much quicker and easier!

The lectures of these courses are based on commonly used research approaches and will provide an intuitive understanding of the statistics used as opposed to a heavily theoretical approach filled with formulas and unfamiliar jargon! This approach will help you understand why we do each type of analysis and how you could make use of it in your own research. The post-data collection course concludes with a final assessment that will demonstrate your proficiency in basic quantitative techniques. Once you have passed this assessment you will have access to individual consultations to discuss any further questions about your quantitative research in detail.

Post-Data Collection Course Outline:

• Descriptive Statistics
  • Numerical descriptive statistics
  • Graphical descriptive statistics
• Basic inferential tests and concepts
  • Inferential statistics
  • Correlations
  • Understanding p-values
  • Confidence intervals
  • Exploratory Factor Analysis (EFA)
  • Factor scores and Cronbach alpha’s
• Commonly used inferential methods
  • Parametric versus Non-parametric methods
  • Chi-square tests
  • T-tests
  • One Sample T-test
  • Paired Sample T-test (Also known as Dependent Samples T-test)
  • Independent Samples T-test (Also known as Two-Sample T-test)
  • Mann-Whitney U Test
  • Wilcoxon Test (Signed Rank Test)
  • One-way ANOVAs
  • Kruskal-Wallis Test
  • Simple Linear regression
  • Practical Significance vs Statistical Significance
• Revision and Case study applications
  • Case Study 1
  • Case Study 2

Course Information: The course contains an assessment component. The first part of the course is facilitated by the course leader. Thereafter, time is provided for the completion and submission of the required assignment.

To attend this workshop, please complete the form below and submit. , You will receive an email on submission indicating receipt of the form.

Kindly note that submitting a registration form is not confirmation that you have been included as a participant for this workshop.

The status of your registration will be communicated via email after registration has closed.

 

First Name:

 

Surname:

 

Staff / Student Number:

 

Faculty:

Faculty of Business and Economic Sciences
Faculty of Education
Faculty of Engineering, the Built Environment and Technology
Faculty of Health Sciences
Faculty of Humanities
Faculty of Law
Faculty of Science
Other

 

If other selected, please specify the faculty/centre under which you fall:

 

What campus are you based at?:

North
South
Second Avenue
Ocean Sciences
Bird Street
Missionvale
George
Other

 

If other selected, please specify:

 

Gender*:

Male
Female
Non-binary

 

Email Address:

 

Cellphone Number:

 

Citizenship*:

South African Nigerian Zimbabwean Ethiopian Ghanaian Ugandan Malawian Mozambican Cameroonian Botswana Lesotho Other

 

If other selected, please specify your citizenship:

 

Race*:

African Coloured Indian/Asian White

 

Department:

 

Will your research make use of a questionnaire?

Yes No Maybe

 

Position at Nelson Mandela University (e.g. Postdoc, Lecturer, Senior Lecturer, Associate Professor, Professor, PASS Staff):

 

Level of study and discipline, (e.g. MA/PhD - Development Studies):

 

 

I commit to full attendance of this online workshop on the specified date and if unable to attend, I will notify Jadine Januarie at The Office of Research Development.

 

I have discussed this workshop with my manager/supervisor and they have agreed to release me for the duration of the above mentioned online workshop.

Yes
No

 

If YES, provide the name of your Manager/Supervisor:

 

and your Manager/Supervisor's email address:

 

If NO, and you have not discussed this with your manager/supervisor OR you do not have a manager/supervisor, please elaborate:

 

Enter security code:

 

*Please Note: This information is required for DHET reporting purposes.

 

The Protection of Personal Information Act, 2013 (POPI Act) has been promulgated and implemented on 1 July 2020. All personal identifiable information provided by you shall be treated in accordance with this statute and only used for academic and academic administration purposes, as indicated by the University Privacy Policy. I hereby provide consent for use of all my personal identifiable information provided to the University for the aforesaid purposes.