Calculates confidence interval for partial eta-squared in a fixed-effects ANOVA
Calculates confidence interval for partial eta-squared in a fixed-effects ANOVA
get.ci.partial.eta.squared(F.value, df1, df2, conf.level = 0.9)
F.value |
The F-value for the fixed-effect |
df1 |
Degrees of freedom for the fixed-effect |
df2 |
Degrees of freedom error |
conf.level |
Confidence level (0 to 1). For partial eta-squared a confidence level of .90 is traditionally used rather than .95. |
List with confidence interval values (LL and UL)
# Smithson (2001) p. 619 get.ci.partial.eta.squared(F.value=6.00, df1=1, df2=42, conf.level=.90) get.ci.partial.eta.squared(F.value=2.65, df1=6, df2=42, conf.level=.90) get.ci.partial.eta.squared(F.value=2.60, df1=6, df2=42, conf.level=.90) # Fidler & Thompson (2001) Fixed Effects 2x4 p. 594 (Table 6) / p. 596 (Table 8) get.ci.partial.eta.squared(F.value=1.50, df1=1, df2=16, conf.level=.90) get.ci.partial.eta.squared(F.value=4.00, df1=3, df2=16, conf.level=.90) get.ci.partial.eta.squared(F.value=1.50, df1=3, df2=16, conf.level=.90)
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