SPSS Statistical Analysis Certification

Module 1: Introduction to SPSS

• Overview of SPSS
• Features and Applications
• User Interface
• Installing and Setting Up SPSS
• Statistical Analysis Workflow

Module 2: Getting Started with Data

• Creating Data Files
• Importing Excel and CSV Data
• Variable View
• Data View
• Saving and Managing Projects

Module 3: Data Preparation

• Data Cleaning
• Handling Missing Values
• Sorting Data
• Filtering Cases
• Recoding Variables

Module 4: Data Transformation

• Compute Variables
• Recode Variables
• Merge Files
• Split Files
• Select Cases

Module 5: Descriptive Statistics

• Frequency Distribution
• Measures of Central Tendency
• Measures of Dispersion
• Cross Tabulation
• Summary Statistics

Module 6: Data Visualization

• Bar Charts
• Pie Charts
• Histograms
• Box Plots
• Scatter Plots

Module 7: Probability and Sampling

• Basic Probability Concepts
• Sampling Methods
• Population vs Sample
• Sampling Distribution
• Confidence Intervals

Module 8: Hypothesis Testing

• Null and Alternative Hypotheses
• Significance Levels
• P-Values
• Type I and Type II Errors
• Statistical Decision Making

Module 9: Correlation Analysis

• Pearson Correlation
• Spearman Correlation
• Correlation Matrix
• Interpretation of Results
• Practical Applications

Module 10: Regression Analysis

• Simple Linear Regression
• Multiple Regression
• Regression Assumptions
• Model Evaluation
• Prediction Analysis

Module 11: T-Test Analysis

• One-Sample T-Test
• Independent Samples T-Test
• Paired Samples T-Test
• Assumption Testing
• Result Interpretation

Module 12: Analysis of Variance (ANOVA)

• One-Way ANOVA
• Two-Way ANOVA
• Post Hoc Analysis
• Assumption Checking
• Interpretation of Outputs

Module 13: Chi-Square Analysis

• Chi-Square Test
• Goodness of Fit
• Test of Independence
• Contingency Tables
• Interpretation

Module 14: Non-Parametric Tests

• Mann-Whitney U Test
• Wilcoxon Test
• Kruskal-Wallis Test
• Friedman Test
• Practical Applications

Module 15: Reliability Analysis

• Reliability Concepts
• Cronbach's Alpha
• Scale Analysis
• Internal Consistency
• Interpretation

Module 16: Factor Analysis

• Exploratory Factor Analysis
• Factor Extraction
• Rotation Methods
• Component Interpretation
• Practical Applications

Module 17: Advanced Data Management

• Data Aggregation
• Data Restructuring
• Case Selection
• Weighting Cases
• Data Validation

Module 18: Syntax in SPSS

• SPSS Syntax Basics
• Writing Commands
• Editing Syntax
• Running Scripts
• Automation Basics

Module 19: Output Interpretation

• Reading Output Tables
• Statistical Reports
• Charts and Graphs
• Exporting Results
• Report Formatting

Module 20: Reporting and Documentation

• Research Reports
• Business Reports
• Tables and Charts
• Documentation Standards
• Presentation Techniques

Module 21: Best Practices in Statistical Analysis

• Choosing the Right Test
• Avoiding Common Errors
• Data Quality Checks
• Statistical Ethics
• Result Validation

Module 22: End-to-End Statistical Analysis Project

• Problem Definition
• Data Preparation
• Statistical Analysis
• Result Interpretation
• Final Report Presentation