coefa (version 1.0.3)

coefa_tflm2: Trimming factor loading matrices(The cutoff range can be selected(0~1))

Description

The function can provide the same effect as the coefa_tflm().The difference is that its cutoff value has a more flexible optional range (0~1).It should be noted that the flexible cutoff selection range may cause some problems. coefa_tflm() is recommended for stable performance

Usage

coefa_tflm2(x, methodE = c("s", "ls"), cutoff)

Value

A list contained those trimmed factor loading matrices.

Arguments

x

A list of multiple original factor loading matrices included without NA.

methodE

The methods for trimming multiple factor loading matrices from the original study."s" and "ls" are two methods of trimming the original factor loading matrix, which are widely used in coefa studies.The s = Shafer’s(2005) method; ls = the Loeber and Schmaling’s method(1985).

cutoff

The Criteria for trimming factor loadings matrices.

References

Loeber,R., & Schmaling, K. B. (1985). Empirical evidence for overt and covert patterns of antisocial conduct problems: a metaanalysis. Journal of abnormal child psychology, 13(2), 337--353.

Shafer,A. B.(2005). Meta-analysis of the Brief Psychiatric Rating Scale factor structure. Psychological Assessment, 17(3),324--335.

Shafer,A. B. (2006). Meta-analysis of the factor structures of four depression questionnaires: Beck, CES-D, Hamilton, and Zung. Journal of clinical psychology, 62(1), 123--146.

Examples

mx1<-matrix(c(0.1,0.2,0.3,0.4),nrow=2)
mx2<-matrix(c(0.4,0.3,0.2,0.1),nrow=2)
list1<-list(mx1,mx2)
#Trim matrices using the Shafer's method ,cutoff is 0.4.
matrices.tflm<-coefa_tflm2(list1,methodE="s",cutoff=0.4)