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• Data Analysis is the process of systematically applying statistical and/or logical techniques to describe, illustrate, condense, recap, and evaluate data
• Bivariate analysis investigates the relationship between two variables to determine if there is a correlation and how strong it is
• A scatterplot is a graph showing how two variables are related, with one variable on the x-axis and the other on the y-axis
• Scatterplot is the most common type of bivariate analysis
• Types of correlations:

  • Positive correlation: as one variable increases, so does the other
  • Negative correlation: as one variable increases, the other decreases
  • No correlation: no relationship between the two variables
• Types of scatter plots:

  1. Strong positive correlation

  2. Moderate positive correlation

  3. No correlation

  4. Moderate negative correlation

  5. Strong negative correlation

  6. Curvilinear relationship
• Positive scatter plot: data points trend up from left to right in a linear fashion, meaning as x increases, y also increases
• Zero correlation: no relationship between data points
• Negative scatter plot: data points trend up from right to left in a linear fashion, meaning as x increases, y decreases
• How to identify no correlation: no pattern in how data points are trending, indicating no relationship between variables
• Positive scatterplot: data points trend up from left to right in a linear fashion, indicating as x increases, y also increases
• Scatterplot vs. correlation: Scatterplot is the visual representation of data, while correlation determines patterns among the data
• Summary of Findings:

  • In quantitative research: Summary of the Findings
  • In qualitative research: Summary of Results
• Conclusion:

  • Inferences, abstractions, general statements, and generalizations based on findings
• Recommendation:

  • Suggests actions based on findings
  • Related to conclusions
  • Not based on unsupported biases or beliefs
• 2 Types of Recommendations:

  • Recommend actions based on findings
  • Recommend actions for further research to other researchers
• Recommendations:

  • Feasible to implement
  • Specific, general, or both
  • Include a suggestion for further study