T-value & Degrees of Freedom (df) ---> Cohen's d or Standardized Mean Difference (SMD) & Effect Size Correlation (r)

By inputting the t-value and degrees of freedom, you can calculate both Cohen's d and the effect size correlation (r).

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If you want to convert or calculate data for more than one study at the same time, enter data for study 1, study 2, study 3, ...etc, RESPECTIVELY across all cells using the same order.

Conversion Results

Study T-value Degrees of Freedom (df) Cohen's (d) Effect Size (r)

Description of the formula

Variables Definitions

  1. T-value (t-value): The T-value is a statistical measure that indicates the number of standard deviations a data point is from the mean. It is often obtained from hypothesis tests comparing sample means.
  2. Degrees of Freedom (df): Degrees of freedom represent the number of values in the final calculation of a statistic that are free to vary. It is a critical parameter, especially in T-tests, and is essential for estimating population parameters.
  3. Cohen's d: Cohen's d is a standardized measure of effect size that quantifies the difference between two group means in terms of standard deviations.
  4. Effect Size Correlation (r): Effect size correlation (r) represents the correlation between two variables. It is commonly used as a measure of the strength and direction of a relationship between variables.

For more details about these variables and used formulas, read the full article.