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  1. Effect size - Wikipedia

    • A related effect size is r 2, the coefficient of determination (also referred to as R 2 or "r-squared"), calculated as the square of the Pearson correlation r. In the case of paired data, this is a measure of the proportion of variance shared by the two variables, and varies from 0 to 1. 展开

    Summary

    In statistics, an effect size is a value measuring the strength of the relationship between two variables in a population, o… 展开

    Overview

    As in statistical estimation, the true effect size is distinguished from the observed effect size. For example, to measure the risk of disease in a population (the population effect size) one can measure the risk within a sam… 展开

    Interpretation

    Whether an effect size should be interpreted as small, medium, or large depends on its substantive context and its operational definition. Cohen's conventional criteria small, medium, or big are near ubiquitous acros… 展开

     
  1. A related effect size is r2, the coefficient of determination (also referred to as R2 or " r -squared"), calculated as the square of the Pearson correlation r.
    了解详细信息:
    A related effect size is r2, the coefficient of determination (also referred to as R2 or " r -squared"), calculated as the square of the Pearson correlation r.
    en.wikipedia.org/wiki/Effect_size
    This effect size is r2 r 2, and it is exactly what it looks like – it is the squared value of our correlation coefficient.
    stats.libretexts.org/Bookshelves/Applied_Statistics/…
    The r-squared effect size measure, `r^2 = t^2 / (t^2 + df),` is important for determining the size of the difference between the means.
    www.vcalc.com/wiki/effective-size-r-squared
  2. 统计基础——统计效应(effect size) - 知乎 - 知乎专栏

  3. Coefficient of Determination (R²) | Calculation

    2022年4月22日 · Lastly, you can also interpret the R² as an effect size: a measure of the strength of the relationship between the dependent and independent variables. Psychologist and statistician Jacob Cohen (1988) …

  4. Effect size calculator - Cohen's d, Cohen's h, Phi (φ), R squared, Eta ...

  5. Understanding and Interpreting Effect Sizes in Statistical

  6. Effect Sizes: Getting Started - The Comprehensive R Archive Network

  7. 12.6: Effect Size - Statistics LibreTexts

  8. Automated Interpretation of Indices of Effect Size

  9. Effect Size (r-squared) - vCalc

  10. Effect size - Wikiversity