Data Analysis using SPSS for Beginners

Week 1
– Types of Data
– Structuring Data for SPSS
– Entering and Saving Data in SPSS
– Exploring Data: Viewing and Spotting Errors
– Drawing and Interpreting Boxplots

Week 2
– Descriptive Statistics and Graphical Analysis
– Using Descriptive Statistics (Mean, Median, S.D.)
– Histograms and the Normal Distribution
– Bar Charts
– Scatterplots and Correlation
– Line Graphs and Pie Charts

Week 3
– Fundamentals of Inferential Statistics
– From Sample to Population: Inferential Basics
– Parametric vs. Nonparametric Tests
– Asymptotic, and Exact Significance
– Testing Paired Data (Paired t-tests)
– The Chi-Square Test: Basics and Application

Week 4
– Advanced Correlation and Cross-tabulation
– Correlation: Descriptive and Inferential Statistics
– Looking for Trends in Data: Increasing or Decreasing Relationships
– Cross-tabulation: Creating and Interpreting Tables
– Practical Examples with Chi-Square Test
– Understanding Test Decision Charts

Week 5
– Analysis of Variance (ANOVA)
– One-Way ANOVA: Basics and Setup
– Interpreting One-Way ANOVA Results
– Repeated Measures ANOVA: Concept and Steps
– Interpreting Repeated Measures ANOVA Output
– Inter-Rater Agreement Using Intraclass Correlation Coefficient (ICC)

Week 6
– Reliability and Advanced Tests
– Cronbach’s Alpha: Measuring Reliability
– Inter-Rater Agreement Using Kappa
– Diagnostic Test Evaluation: Sensitivity and Specificity
– Parametric vs. Nonparametric Tests: A Detailed Comparison
– Creating New Variables in SPSS Based on Existing Data

Week 7
– Practical Applications and Test Decisions
– Applying Test Decision Charts to Real Datasets
– Chi-Square Test: Advanced Applications
– One-Way ANOVA: Deep Dive into Practical Use
– Repeated Measures ANOVA: Case Study
– Cross-tabulation with Chi-Square Test: Case Study Examples

Week 8
– Final Statistical Techniques and Reporting
– Reviewing Reliability Measures: Cronbach’s Alpha and Kappa
– Sensitivity and Specificity: Diagnostic Applications
– Creating and Transforming Variables in SPSS
– Exporting Data and Results from SPSS to Other Programs
– Course Wrap-Up: Key Takeaways and Final Q&A