Interpret Correlation Coefficient
interpret_r(r, rules = "funder2019", ...)interpret_phi(r, rules = "funder2019", ...)
interpret_cramers_v(r, rules = "funder2019", ...)
interpret_rank_biserial(r, rules = "funder2019", ...)
Value or vector of correlation coefficient.
Can be "funder2019" (default), "gignac2016", "cohen1988",
"evans1996", "lovakov2021" or a custom set of rules().
Not directly used.
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
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.
Page 88 of APA's 6th Edition.
interpret_r(.015)
interpret_r(c(.5, -.02))
interpret_r(.3, rules = "lovakov2021")
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