Our specific topics courses cover the core concepts of the topics focusing on interpretation with use of specific software taught either in add on sessions or through access to recorded content included in the cost.  We can also run a bespoke  courses for group with using software built in to the core content and combinations of the following topics.

Please note that it is expected that you have attended our core concepts statistics course or at least be familiar with the basics of hypothesis testing including t-tests, confidence intervals and checking assumptions of normality.

Correlation and Regression (one day)

Our correlation and regression course split into a 5 hour general content section and then either a two hour session or access to recorded content using your chosen software. 

Correlation and Linear Regression

Correlation and linear regression are commonly used techniques which test for relationships and  significant predictors of continuous dependent variables. Understanding the core concepts of these techniques will aide in your understanding of many more advanced techniques.  We focus on the interpretation of results within the workshop with add on sessions teaching you how to carry out these tests in Jamovi or SPSS.  We cover all the basics of the techniques including interpretation, checking assumptions,  interactions/moderation, multiple regression, and building predictive models.

Software Add-on Sessions (included in the cost)

Specify a Jamovi, SPSS or SAS add on to learn how to carry out correlation and regression in your chosen package and reinforce your learning from the main course.  Recorded content is included in the cost of the main course.  

Add-on Topic: Logistic Regression (half day)

Standard regressions requires the dependent variable to be continuous but there are other types of regression for different data types.  Logistic regression is used when the dependent variable is binary and models can be used to give predicted probabilities as well as test for significant predictors.

ANOVA 

Between group Analysis of variance (ANOVA) is a technique used to compare means of three or more groups.  Repeated measures (within groups) ANOVA compares three or more measures of the same variables either at different time points or under different conditions. 

Our full course (two half days) covers both techniques and mixed ANOVA which has a combination of both.  If you only want to learn about standard between groups ANOVA, just sign up for the half day version.

ANOVA (half day)

Our half day course covers the core concepts of ANOVA including one way, checking assumptions and the non-parametric equivalent.  Then we move to two way ANOVA with interactions.  

Add-on Topic: Repeated Measures ANOVA (half day)

For those with data collected at multiple time points or under different conditions, learn how to test for differences using repeated measures ANOVA and it’s non-parametric equivalent, the Friedman test, when assumptions are not met.  We will also cover mixed ANOVA where you have repeated measures and wish to compare groups.

Software Add=on Sessions (included in the cost)

Specify a Jamovi, SPSS or SAS add on to learn how to carry out ANOVA in your chosen package and reinforce your learning from the main course.  Recorded content is included in the cost of the half day courses.