get.ci.partial.eta.squared: Calculates confidence interval for partial eta-squared in a...

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Description

Calculates confidence interval for partial eta-squared in a fixed-effects ANOVA

Usage

get.ci.partial.eta.squared(F.value, df1, df2, conf.level = 0.9)

Arguments

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.

Value

List with confidence interval values (LL and UL)

Examples

# 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)

Example output

$LL
[1] 0.01170243

$UL
[1] 0.2801166

$LL
[1] 0.01744483

$UL
[1] 0.3577174

$LL
[1] 0.01473858

$UL
[1] 0.3537137

$LL
[1] 0

$UL
[1] 0.3166901

$LL
[1] 0.03574041

$UL
[1] 0.5670909

$LL
[1] 0

$UL
[1] 0.3777952

apaTables documentation built on Jan. 13, 2021, 11:22 p.m.