Research Data Analysis with SPSS
Research
Data Analysis
Public Health
Course Description
The Research Data Analysis with SPSS course is tailored for researchers, analysts, and students who want to acquire a strong foundation in using SPSS (Statistical Package for the Social Sciences) for conducting data analysis in research projects. The course covers a range of statistical techniques, data manipulation, and visualization tools within the SPSS environment. Participants will learn how to effectively prepare, analyze, and interpret research data, enabling evidence-based decision-making.
Learning Objectives
By the end of the Research Data Analysis with SPSS course, participants will be able to:
- Familiarize with the SPSS interface, tools, and data management features.
- Understand the role of SPSS in research data analysis across various fields.
- Import data from different sources (e.g., Excel, CSV) into SPSS.
- Handle missing data, outliers, and data inconsistencies.
- Clean and prepare data for analysis.
- Calculate and interpret descriptive statistics, including measures of central tendency and dispersion.
- Exploratory Data Analysis
- Parametric Tests
- Non-Parametric Tests
- Correlation and Regression Analysis
- Categorical Data Analysis
- Multivariate Analysis Techniques
- Data Visualization in SPSS
- Interpreting and Presenting Results
- Best Practices and Ethical Considerations