Interpret Correlation Coefficient
Usage
interpret_r(r, rules = "funder2019", ...)
interpret_phi(r, rules = "funder2019", ...)
interpret_cramers_v(r, rules = "funder2019", ...)
interpret_rank_biserial(r, rules = "funder2019", ...)
Arguments
- r
Value or vector of correlation coefficient.
- rules
Can be
"funder2019"
(default),"gignac2016"
,"cohen1988"
,"evans1996"
,"lovakov2021"
or a custom set ofrules()
.- ...
Not directly used.
Note
As \(\phi\) can be larger than 1 - it is recommended to compute and interpret Cramer's V instead.
Rules
Rules apply positive and negative r alike.
Funder & Ozer (2019) (
"funder2019"
; default)r < 0.05 - Tiny
0.05 <= r < 0.1 - Very small
0.1 <= r < 0.2 - Small
0.2 <= r < 0.3 - Medium
0.3 <= r < 0.4 - Large
r >= 0.4 - Very large
Gignac & Szodorai (2016) (
"gignac2016"
)r < 0.1 - Very small
0.1 <= r < 0.2 - Small
0.2 <= r < 0.3 - Moderate
r >= 0.3 - Large
Cohen (1988) (
"cohen1988"
)r < 0.1 - Very small
0.1 <= r < 0.3 - Small
0.3 <= r < 0.5 - Moderate
r >= 0.5 - Large
Lovakov & Agadullina (2021) (
"lovakov2021"
)r < 0.12 - Very small
0.12 <= r < 0.24 - Small
0.24 <= r < 0.41 - Moderate
r >= 0.41 - Large
Evans (1996) (
"evans1996"
)r < 0.2 - Very weak
0.2 <= r < 0.4 - Weak
0.4 <= r < 0.6 - Moderate
0.6 <= r < 0.8 - Strong
r >= 0.8 - Very strong
References
Lovakov, A., & Agadullina, E. R. (2021). Empirically Derived Guidelines for Effect Size Interpretation in Social Psychology. European Journal of Social Psychology.
Funder, D. C., & Ozer, D. J. (2019). Evaluating effect size in psychological research: sense and nonsense. Advances in Methods and Practices in Psychological Science.
Gignac, G. E., & Szodorai, E. T. (2016). Effect size guidelines for individual differences researchers. Personality and individual differences, 102, 74-78.
Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd Ed.). New York: Routledge.
Evans, J. D. (1996). Straightforward statistics for the behavioral sciences. Thomson Brooks/Cole Publishing Co.
Examples
interpret_r(.015)
#> [1] "tiny"
#> (Rules: funder2019)
#>
interpret_r(c(.5, -.02))
#> [1] "very large" "tiny"
#> (Rules: funder2019)
#>
interpret_r(.3, rules = "lovakov2021")
#> [1] "medium"
#> (Rules: lovakov2021)
#>