Confident use of JASP - You will learn how to install JASP, navigate its interface, and run analytical procedures on your own, so you can start working with real datasets faster and with less hesitation.
Clear understanding of the package - You will see what kinds of analyses JASP supports, how its open-source model matters in practice, and when this tool is a good fit for your regular statistical work.
Reliable descriptive statistics - You will practice calculating mode, mean, median, and key dispersion measures, so you can describe datasets correctly before moving on to more advanced statistical analysis.
Better reading of variability - You will learn how to interpret average deviation, standard deviation, and the coefficient of variation, helping you assess how strongly results differ within your dataset.
Choosing the right method - You will understand when to use the t-test, ANOVA, ANCOVA, and regression, making it easier to match a statistical method to your research question and data structure.
Using both statistical approaches - You will work with both frequentist and Bayesian inference in JASP, which will help you compare approaches directly and interpret your analytical results more thoughtfully.
Clear presentation of results - You will learn how to visualize data and analysis outputs in JASP, so you can prepare clearer charts and summaries for reports, presentations, and research publications.
Analyzing relationships - You will master Pearson correlation and linear regression, allowing you to examine the strength of relationships, make predictions, and comment on links between variables.
Basic statistics - You should understand core statistical concepts such as variables, measurement scales, and the mean, so you can follow the analyses and interpret the results with confidence.
Working with data - You should be able to work with data tables, identify rows and columns, and understand the structure of a simple dataset, because the training is built around data analysis.
Computer skills - You should be comfortable using a computer, installing software, and navigating application interfaces, so you can complete the exercises in JASP without difficulty.
Reading charts - You should understand basic statistical charts and tables, so you can follow data visualizations more easily and correctly read the results presented during the training.
