University · Psychology · Statistics and Research Methods

Correlation, Regression, and Effect Sizes

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How psychologists quantify the strength and direction of relationships between variables using the Pearson correlation coefficient and simple linear regression, why correlation never proves causation, and how effect sizes such as Cohen's d express the practical magnitude of a finding.

Inhaltsübersicht

  • The Pearson Correlation Coefficient
  • Simple Linear Regression
  • Correlation Is Not Causation
  • Effect Sizes and Cohen's d
Scatterplot showing a strong positive correlation between two variables with points clustered along a rising line
Pixabay – Pixabay License

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Learn Correlation, Regression, and Effect Sizes — Statistics and Research Methods Psychology | Summary, Flashcards & Quiz