Essential SPSS skills tailored for researchers and analysts: Learn the theory and apply it using real questionnaire data
Unlock the full potential of your survey data with SPSS no prior experience required! This hands-on course is your complete guide to the statistical analysis of questionnaire data using SPSS. Whether you’re a student, lecturer, researcher, or data analyst, you’ll gain the essential skills to clean, validate, and analyze real-world survey data confidently and accurately.
What you’ll learn
- Prepare and import questionnaire data into a statistical package by labeling variables, verifying accuracy, and cleaning data to ensure it is ready for analysis.
- Validate a questionnaire by conducting Exploratory Factor Analysis and the Cronbach Alpha coëfficent in SPSS.
- Explore data using SPSS by calculating descriptive statistics, creating graphs and tables, and visualizing relationships between variables with plots and charts.
- Conduct statistical analyses in SPSS by selecting appropriate techniques to test relationships between variables and compare group s.
Course Content
- Introduction –> 7 lectures • 22min.
- Data preparation –> 5 lectures • 33min.
- Questionnaire validation –> 7 lectures • 1hr 19min.
- Exploratory Data Analysis –> 7 lectures • 44min.
- Statistical analysis –> 13 lectures • 2hr 26min.
- Next steps –> 3 lectures • 3min.
Requirements
Unlock the full potential of your survey data with SPSS no prior experience required! This hands-on course is your complete guide to the statistical analysis of questionnaire data using SPSS. Whether you’re a student, lecturer, researcher, or data analyst, you’ll gain the essential skills to clean, validate, and analyze real-world survey data confidently and accurately.
From understanding the research process to performing rigorous statistical tests, you’ll follow a structured, step-by-step path:
- Get oriented with the Communication Audit case study, dataset, and research questions
- Import and prepare data: learn best practices for labeling, cleaning, and managing raw data
- Validate your questionnaire: explore construct validity using Exploratory Factor Analysis (EFA) and assess reliability with Cronbach’s Alpha
- Perform exploratory data analysis (EDA): summarize data using descriptive statistics, graphs, and plots
- Conduct core statistical tests and analyses: from Chi-square to Correlation, Regression, and ANOVA—explained in theory and applied in SPSS
By the end of the course, you will be able to:
- Prepare and clean questionnaire data like a pro
- Validate scales and measure internal consistency
- Visualize and interpret key relationships between variables
- Choose and run the correct statistical tests in SPSS
- Export results and report them with confidence
Ideal for social science researchers, graduate students, and anyone working with questionnaire-based data especially for a Master’s or PhD. No prior SPSS experience is needed just a willingness to learn by doing! Please note that a valid SPSS licence is needed.