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Computer Science
Data Science
Survey Creation and Analysis
1. Foundations of Survey Research
2. Survey Design and Planning
3. Questionnaire Development
4. Pre-testing and Validation
5. Data Collection Implementation
6. Data Processing and Preparation
7. Statistical Analysis of Survey Data
8. Advanced Survey Methodology
9. Reporting and Communication
Statistical Analysis of Survey Data
Descriptive Analysis
Univariate Analysis
Frequency Distributions
Measures of Central Tendency
Mean
Median
Mode
Measures of Variability
Range
Variance
Standard Deviation
Interquartile Range
Bivariate Analysis
Cross-tabulation
Correlation Analysis
Comparison of Means
Data Visualization
Frequency Charts
Distribution Plots
Comparison Charts
Inferential Statistics
Hypothesis Testing Framework
Null and Alternative Hypotheses
Test Statistics
P-values
Significance Levels
Type I and Type II Errors
Tests for Means
One-Sample t-test
Independent Samples t-test
Paired Samples t-test
One-Way ANOVA
Two-Way ANOVA
Tests for Proportions
One-Sample Proportion Test
Two-Sample Proportion Test
Chi-Square Test of Independence
Chi-Square Goodness of Fit
Confidence Intervals
Confidence Interval Construction
Interpretation
Margin of Error
Relationship Analysis
Correlation Analysis
Pearson Correlation
Spearman Correlation
Kendall's Tau
Regression Analysis
Simple Linear Regression
Multiple Linear Regression
Logistic Regression
Ordinal Regression
Advanced Modeling
Multilevel Modeling
Structural Equation Modeling
Time Series Analysis
Specialized Survey Analysis Techniques
Complex Sample Analysis
Design-Based Inference
Variance Estimation
Finite Population Correction
Subgroup Analysis
Stratified Analysis
Interaction Effects
Multiple Comparisons
Longitudinal Analysis
Change Analysis
Growth Curve Modeling
Panel Data Analysis
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8. Advanced Survey Methodology