confreq (version 1.6.1-1)

S2CFA: Configural Frequencies Analysis for two Samples.

Description

Calculates coefficients for the two-sample CFA. Instead of differentiating between 'Types' and 'Antitypes', two-sample CFA looks for discrimination types, that is configurations with significant differences in frequencies between two sub samples.

Usage

S2CFA(patternfreq, alpha = 0.05, ccor = FALSE, ...)

Value

an object of class S2CFA with results.

Arguments

patternfreq

an object of class "Pfreq", which is data in pattern frequencies representation - see function dat2fre. The variable defining the two sub samples (a variable with max. two categories) must be located in the last but one column of the object of class "Pfreq"

alpha

a numeric giving the alpha level for testing (default set to alpha=.05)

ccor

a logical (TRUE / FALSE) determining whether to apply a continuity correction or not. When set to ccor=TRUE continuity correction is applied. For ccor=FALSE no continuity correction is applied.

...

additional parameters passed through to other functions.

Details

no details at the moment ...

References

Stemmler, M. (2020). Person-Centered Methods – Configural Frequency Analysis (CFA) and Other Methods for the Analysis of Contingency Tables. Cham Heidelberg New York Dordrecht London: Springer.

Stemmler, M., & Hammond, S. (1997). Configural frequency analysis of dependent samples for intra-patient treatment comparisons. Studia Psychologica, 39, 167–175.

Examples

#######################################
############### some examples #########
######### example from Marks Textbook
data(Lienert1978)
res1 <- S2CFA(Lienert1978)
summary(res1)
res2 <- S2CFA(Lienert1978, ccor=TRUE) # with continuity correction
summary(res2)
######### example with biger numbers
data(suicide)
ftab(suicide) # 'Epoche' may divide the sample into 2 subsamples  
suicide_2s <- suicide[, c(1,3,2) ] # reorder data that 'Epoche' is the last column
ftab(suicide_2s) # check reordering
suicide_2s_fre <- dat2fre(suicide_2s)
res3 <- S2CFA(suicide_2s_fre)
summary(res3)
res4 <- S2CFA(suicide_2s_fre, ccor=TRUE) # with continuity correction
summary(res4)