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Short Course
Statistics and Data Analysis for research purposes
The reason why the NWU wishes to offer the course is to give individuals the necessary tools to understand, analyse and interpret data on a specific research topic. There is an ever increasing demand for individuals being able to perform quantitative analysis. Statistics plays an integral role in quantitative research, therefore by enhancing statistical knowledge the quality of research outputs will improve.

Purpose of the course:

This short course aims to equip participants with the skills necessary to understand, analyse and interpret the statistical output obtained from computer software in order to answer specific research questions. In addition the participant will gain knowledge on how to approach the process of designing a questionnaire as a data collection tool and evaluate the validity and reliability of these questionnaires.

Admission requirements:

Learning assumed to be in place: 

Course outcomes and assessment criteria :

Course outcomes and the associated assessment criteria: 

Study Unit


Assessment Criteria

  After completion of this course, participants will: Participant will be assessed on the following criteria:
  1. Demonstrate informed knowledge and understanding of descriptive and inferential statistics applied in quantitative research.
  2. Demonstrate an ability to select, apply and interpret standard statistical methods and techniques within different research studies.
  3. Demonstrate an ability to report results in a reliable, accurate and an ethical manner
  1. Discuss descriptive statistical measures and graphs.
  2. Explain the different inferential statistical procedures (these include t-tests, ANOVA F-tests, test for correlation, tests related to regression models, nonparametric tests and chi-square tests) and the assumptions underlying these tests.
  3. Identify the most suitable technique for a given quantitative research problem.
  4. Calculate and display descriptive statistical measures, graphs and statistical inferential techniques using appropriate computer software.
  5. Design and construct a questionnaire and explain the advantages and disadvantages of using different response scales.
  6. Identify and extract constructs from a multivariate dataset by using exploratory factor analysis (with the use of appropriate computer software).
  7. Discuss methods to evaluate the reliability of the extracted constructs.
  8. Interpret the output from the various statistical techniques and be able to report these results in a statistically sound and an ethical manner


Informal class interaction.
Method of assessment: 
Attendance and participation in short course activities..

Additional information

Mode of delivery: 
Target group: 
Postgraduate students busy with research, researchers or any person who would like to enhance his or her statistical knowledge.
Contact us
Me Marike Cockeran
Telephone number: 
018 299 2571