• 4.0 Data Collection and Analysis

  • 4.0.1 Introduction to Data Collection and Analysis

• 4.1 Data Collection & Data management

  • 4.1.1 Introduction to Data Collection and Data management
  • 4.1.2 Lecture on Data Collection and Data Management
  • 4.1.3 Further Reading on Data Analysis
  • 4.1.4 Main Takeaways Data Analysis
  • 4.1.5 Lecture on Open Data
  • 4.1.6 Further Reading on Open Data
  • 4.1.7 Main Takeaways Open Data

• 4.2 Quantitative Data Analysis

  • 4.2.1 Introduction to Quantitative Data Analysis
  • 4.2.2 Lecture on Quantitative Data Analysis
  • 4.2.3 Using Statistical Analysis Software JAMOVI
  • 4.2.4 Lecture Quantitative Data Analysis using Jamovi
  • 4.2.5 Selecting a Statistical Method
  • 4.2.6 Lecture: Comparative Statistics – Pearson’s Correlation Test
  • 4.2.7 About Pearson’s Correlation test
  • 4.2.8 Lecture Comparative Statistics for 2 Variables – t-Test
  • 4.2.9 About Student’s t-test
  • 4.2.10 Lecture Comparative Statistics for 3 or more variables – ANOVA
  • 4.2.11 Further Reading on Quantitative Data Analysis
  • 4.2.12 Main Takeaways Quantitative Data Analysis

• 4.3 Qualitative Data Analysis

  • 4.3.1 Introduction to Qualitative Data Analysis
  • 4.3.2 Lecture on Qualitative Data Analysis
  • 4.3.3 Preparing for Quantitative Data Analysis
  • 4.3.4 Lecture: How to perform qualitative data analysis
  • 4.3.5 Further Reading on Qualitative Data Analysis
  • 4.3.6 Main Takeaways Qualitative Data Analysis

• 4.4 Validation & Verification of Data and Analysis results

  • 4.4.1 Introduction to Data Validation and Verification
  • 4.4.2 Lecture on Data Validation and Verification
  • 4.4.3 Further Reading on Data Validation and Verification
  • 4.4.4 Main Takeaways on Data Validation and Verification

• 4.5 Data Interpretation

  • 4.5.1 Introduction to Data Interpretation
  • 4.5.2 Lecture on Data Interpretation
  • 4.5.3 Further Reading on Data Interpretation
  • 4.5.4 Main Takeaways Data Interpretation