CFA error

[Anders Dahlen Lauvsnes]

Hi,

I am trying to do a CFA on a known 6 item psychometric instrument, with 2 known factors, items 1-4 and 5-6.

See below for code and error:

Model <- '

f1 =~ ConcPrWraUp.NT4BLQ2 + ConcPrOrd.NT4BLQ2 + ConcPrThou.NT4BLQ2 + ConcPrAppo.NT4BLQ2

f2 =~ ConcPrFidg.NT4BLQ2 + ConcPrOverlyAct.NT4BLQ2' 

fit <- cfa(Model, data=data,std.lv=TRUE) 

Error in lav_data_full(data = data, group = group, cluster = cluster,  : 

  lavaan ERROR: unordered factor(s) detected; make them numeric or ordered: ConcPrWraUp.NT4BLQ2 ConcPrOrd.NT4BLQ2 ConcPrThou.NT4BLQ2 ConcPrAppo.NT4BLQ2 ConcPrFidg.NT4BLQ2 ConcPrOverlyAct.NT4BLQ2

[car...@web.de]

The error message tells you what to do. What's your question?

Am 04.05.20, 23:48 schrieb Anders Dahlen Lauvsnes <and...@cybehave.com>:

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[Anders Dahlen Lauvsnes]

So just covert the variables from factors to numeric? or do I need to order them some other way?

mandag 4. mai 2020 23.53.18 UTC+2 skrev car...@web.de følgende:

The error message tells you what to do. What's your question?

Am 04.05.20, 23:48 schrieb Anders Dahlen Lauvsnes <and...@cybehave.com>:

Hi,

I am trying to do a CFA on a known 6 item psychometric instrument, with 2 known factors, items 1-4 and 5-6.

See below for code and error:

Model <- '

f1 =~ ConcPrWraUp.NT4BLQ2 + ConcPrOrd.NT4BLQ2 + ConcPrThou.NT4BLQ2 + ConcPrAppo.NT4BLQ2

f2 =~ ConcPrFidg.NT4BLQ2 + ConcPrOverlyAct.NT4BLQ2' 

fit <- cfa(Model, data=data,std.lv=TRUE) 

Error in lav_data_full(data = data, group = group, cluster = cluster,  : 

  lavaan ERROR: unordered factor(s) detected; make them numeric or ordered: ConcPrWraUp.NT4BLQ2 ConcPrOrd.NT4BLQ2 ConcPrThou.NT4BLQ2 ConcPrAppo.NT4BLQ2 ConcPrFidg.NT4BLQ2 ConcPrOverlyAct.NT4BLQ2

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[Sandra Jaworeck]

Ordinal variables should not simply be treated metrically. You can order your factors by using the following code:

yourdata[,c("factorvariable1", "factorvariable2")] <-lapply(yourdata[,c("factorvariable1", "factorvariable2")], ordered)

Afterwards you have to indicate with your fit:

fit <- cfa(Model, data=data,std.lv=TRUE, ordered = c("factorvariable1", "factorvariable2"))

Note that multilevel SEM currently (0.6-5/0.6-6) does not work with ordered/categorical data!