Module stikpetP.other.thumb_cohen_h

Functions

def th_cohen_h(h, qual='cohen')

Rule Of Thumb For Cohen H

Simple function to use a rule-of-thumb for the Cohen h effect size.

This function is shown in this YouTube video and the effect size is also described at PeterStatistics.com

Parameters

h : float

the Cohen h value

qual : {"cohen"}, optional

indication which set of rule-of-thumb to use. Currently only "cohen" (default)

Returns

pandas.DataFrame

A dataframe with the following columns:

• classification, the qualification of the effect size
• reference, a reference for the rule of thumb used

Notes

Cohen's rule of thumb for Cohen h (1988, p. 198):

|h|	Interpretation
0.00 < 0.20	negligible
0.20 < 0.50	small
0.50 < 0.80	medium
0.80 or more	large

Before, After and Alternatives

• es_cohen_h_os for Cohen h'
• es_convert to convert Cohen h' to Cohen h, use fr="cohenhos" and to=cohenh

References

Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). L. Erlbaum Associates.

Author

Made by P. Stikker

Companion website: https://PeterStatistics.com
YouTube channel: https://www.youtube.com/stikpet
Donations: https://www.patreon.com/bePatron?u=19398076

Examples

>>> es = 0.6
>>> th_cohen_h(es)
  classification             reference
0         medium  Cohen (1988, p. 198)

Expand source code

def th_cohen_h(h, qual="cohen"):
    '''
    Rule of thumb for Cohen h
    -------------------------
    
    Simple function to use a rule-of-thumb for the Cohen h effect size.

    This function is shown in this [YouTube video](https://youtu.be/CHFPfThJ4aY) and the effect size is also described at [PeterStatistics.com](https://peterstatistics.com/Terms/EffectSizes/CohenH.html)
    
    Parameters
    ----------
    h : float
        the Cohen h value
    qual : {"cohen"}, optional 
        indication which set of rule-of-thumb to use. Currently only "cohen" (default)
    
    Returns
    -------
    pandas.DataFrame
        A dataframe with the following columns:
    
        * *classification*, the qualification of the effect size
        * *reference*, a reference for the rule of thumb used
    
    Notes
    -----
    Cohen's rule of thumb for Cohen h (1988, p. 198):
    
    |\\|h\\|| Interpretation|
    |---|----------|
    |0.00 < 0.20 | negligible |
    |0.20 < 0.50 | small |
    |0.50 < 0.80 | medium |
    |0.80 or more | large |
    
    Before, After and Alternatives
    ------------------------------
    * [es_cohen_h_os](../effect_sizes/eff_size_cohen_h_os.html#es_cohen_h_os) for Cohen h'
    * [es_convert](../effect_sizes/convert_es.html#es_convert) to convert Cohen h' to Cohen h, use fr="cohenhos" and to=cohenh
    
    References
    ----------
    Cohen, J. (1988). *Statistical power analysis for the behavioral sciences* (2nd ed.). L. Erlbaum Associates.
    
    Author
    ------
    Made by P. Stikker
    
    Companion website: https://PeterStatistics.com  
    YouTube channel: https://www.youtube.com/stikpet  
    Donations: https://www.patreon.com/bePatron?u=19398076
    
    Examples
    --------
    >>> es = 0.6
    >>> th_cohen_h(es)
      classification             reference
    0         medium  Cohen (1988, p. 198)
    
    '''
    
    #Cohen (1988, pp. 184-185)
    if (qual=="cohen"):
        ref = "Cohen (1988, p. 198)"
        if (abs(h)<0.2):
            qual = "negligible"
        elif (abs(h)<0.5):
            qual = "small"
        elif (abs(h)<0.8):
            qual = "medium"
        else:
            qual = "large"
            
    results = pd.DataFrame([[qual, ref]], columns=["classification", "reference"])
    
    return(results)