Combination of F Statistics for Multiply Imputed Datasets Using a Chi Square Approximation

Description

Several F statistics from multiply imputed datasets are combined using an approximation based on χ^2 statistics (see micombine.chisquare).

Usage

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micombine.F(Fvalues, df1, display = TRUE, version=1)

Arguments

Fvalues

Vector containing F values.

df1

Degrees of freedom of the denominator. Degrees of freedom of the numerator are approximated by (large number of degrees of freedom).

display

A logical indicating whether results should be displayed at the console

version

Integer indicating which calculation formula should be used. The default version=1 refers to the correct formula as in Enders (2010), while version=0 uses an incorrect formula as printed in Allison (2001). The incorrect calculation version=0 was included in miceadds versions smaller than version 2.0. See also http://statisticalhorizons.com/wp-content/uploads/2012/01/combchi.sas.

Value

The same output as in micombine.chisquare

Author(s)

Alexander Robitzsch

References

Allison, P. D. (2002). Missing data. Newbury Park, CA: Sage.

Enders, C. K. (2010). Applied missing data analysis. Guilford Press.

See Also

micombine.chisquare

Examples

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#############################################################################
# EXAMPLE 1: F statistics for 5 imputed datasets
#############################################################################

Fvalues <- c( 6.76 , 4.54 , 4.23 , 5.45 , 4.78 )
micombine.F(Fvalues, df1=4 )
  ##   Combination of Chi Square Statistics for Multiply Imputed Data
  ##   Using 5 Imputed Data Sets
  ##   F(4,67.11)=4.097     p=0.00497 
  ##   Chi Square Approximation Chi2(4)=16.387     p=0.00254 

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