Module 1: Introduction to Survey Data Analysis

• Overview of survey data analysis
• Introduction to SPSS
• Data import and management
• Descriptive statistics
• Practical session: Data import and descriptive statistics in SPSS

Module 2: Data Cleaning and Preparation

• Handling missing data
• Data transformation and recoding
• Data validation
• Creating and managing data files
• Practical session: Data cleaning and preparation in SPSS

Module 3: Descriptive Statistics and Visualization

• Measures of central tendency
• Measures of dispersion
• Frequency distributions
• Data visualization techniques
• Practical session: Descriptive statistics and data visualization in SPSS

Module 4: Inferential Statistics

• Hypothesis testing
• T-tests and ANOVA
• Chi-square tests
• Non-parametric tests
• Practical session: Conducting inferential statistical analyses in SPSS

Module 5: Correlation and Regression Analysis

• Correlation analysis
• Simple linear regression
• Multiple linear regression
• Assumptions and diagnostics
• Practical session: Building and evaluating regression models in SPSS

Module 6: Advanced Statistical Techniques

• Factor analysis
• Cluster analysis
• Discriminant analysis
• Logistic regression
• Practical session: Applying advanced statistical techniques in SPSS

Module 7: Data Interpretation and Presentation

• Interpreting statistical results
• Presenting data in tables and figures
• Writing research reports
• Creating effective presentations
• Practical session: Presenting survey findings

Module 8: Survey Data Weighting and Adjustment

• Introduction to survey weighting
• Applying survey weights in SPSS
• Adjusting for non-response bias
• Analyzing weighted survey data
• Practical session: Applying survey weights and adjustments in SPSS

Module 9: Survey Data Quality Assessment

• Assessing data quality
• Identifying and handling outliers
• Reliability and validity testing
• Ethical considerations in survey data analysis
• Practical session: Assessing and ensuring data quality

Module 10: Reporting and Disseminating Survey Results

• Writing and formatting survey reports
• Communicating results to stakeholders
• Using visuals to enhance reports
• Ethical reporting and transparency
• Practical session: Writing and disseminating survey reports

Trainer Experience 

Our trainers are experienced data analysts and researchers with extensive backgrounds in survey data analysis and SPSS. They have successfully conducted numerous survey research projects and are passionate about sharing their knowledge with participants.

Quality statement

We are committed to providing high-quality training that equips participants with the skills and knowledge needed to excel in survey data analysis. Our course materials are continuously updated to reflect the latest advancements in the field.

Tailor-made courses

We offer tailor-made courses to meet the specific needs of organizations. Please contact us to discuss your requirements, and we will design a customized training program for your team.

Payment

Payment is required a week before the training starts.

Accommodation and airport pick-up

We offer assistance with accommodation and airport pick-up for participants traveling from outside the area. Please contact us for more information.