This practical workshop will help participants to choose and use the appropriate standard statistical test for their data by introducing key concepts of inferential statistics in SPSS. Participants will learn how to compute and interpret hypothesis tests for popular statistical models such as correlation, contingency tables, chi-square test, t-test and ANOVA.
Recommended Participants
Researchers wanting to understand how to choose the right statistical test for the context/condition and how to conduct the analysis by themselves using SPSS. The workshop is relevant for all disciplines, although examples and exercises will be based around clinical datasets.
N.B. Our new workshop “Statistical Comparisons for HASS” teaches the same statistical principles using example datasets from humanities and social sciences.
Attendees must provide their own SPSS licence (most QCIF member universities have institution-wide licences available for staff and students). Prior knowledge of SPSS is required (Introduction to SPSS workshop is highly recommended) as the basics of SPSS will not be covered.
Learning Objectives
- Choose the right statistical test appropriate for the data and the research questions
- Carry out inferential statistics in SPSS
- Generate plots, figures and tables of hypothesis tests using the SPSS GUI
- Interpret and report the results of a range of commonly-used statistical tests
Syllabus
- An introduction to hypothesis testing terminology
- Correlation analysis between two continuous variables
- Statistical tests for both categorial and continuous variables
- ANOVA – testing with more than two groups