Statistical Training
Not many students are fond of statistics while some people are downright terrified of the subject. However, Dr Liezel Korf, who is a registered Research Psychologist and has been involved in teaching and practising research methodology and statistics for more than 20 years, can help you tame the beast. The aim of her statistical training offers is to demystify statistics and make it practical and accessible. Delegates can attend a generic course that we offer online or in person, or we can tailor in-house statistical training to suit your company’s needs and data. Most importantly, we guide delegates through various decision tables to decide which statistical methods are appropriate for their data. Course topics range from basic statistical principles to more specialized and advanced methods.
Statistical training
A typical generic course outline may include the following:
- Basic statistical concepts (sample/population; independent and dependent variables, etc.)
- Levels of measurement (Nominal, Ordinal, Interval and Ratio)
- Confidence intervals and how to construct them
- What a data set should look like
- Data capturing guidelines and pitfalls
- Data-checking what to look out for before you start analysing your data
- Basic descriptive statistics for both categorical and scale variables
- The basic concepts of probability
- Principles of hypothesis testing
- The most commonly used hypothesis tests (e.g. T-test; One way ANOVA; Pearson correlation, Chi Square)
Advanced statistics training programs may include:
- Factorial ANOVA
- Multiple regression
- Discriminant analysis
- Factor analysis
- Cluster analysis
- Repeated measures ANOVA
- Correspondence analysis
- Structural Equation modelling
“Dr Korf. Thank you so much for your help during my quantitative work. Much appreciated! I got brilliant comments from external examiners. I did not defend the study due to positive feedback from all examiners. Thank you once again. Kabelo (University of Pretoria).”
