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st: SEM becomes unidentified when introducing single item control variables
From
Johannes Kotte <[email protected]>
To
[email protected]
Subject
st: SEM becomes unidentified when introducing single item control variables
Date
Tue, 15 Jan 2013 15:21:36 +0100
Dear fellow researchers,
I would be grateful for advice with the following problem: I have
created a very simple SEM (let's call it 'model 1') that works fine
(see below for code). It contains a latent dependent variable called
PRAXREL and a latent independent variable called BKA. Moreover, it
contains latent control variables called KVSENIOR and KVL. As I said,
model 1 works fine (identified, good fit).
However, the model becomes problematic when I introduce single-item
latent variables (CV1, CV2, CV3, CV4) as control variables ('model2').
In this case Stata iterates forever saying ?not concave?.
WHAT COULD BE THE REASON? I tried many different setups of the model
(incl. constraining the path coefficients of the CV to 1 or setting
the reliability of the CV to 0.9 or 0.5) but none of them really
worked unless I delete at least some of the CVs.
The following might be interesting: (i) If I let Stata iterate 15
times and take a look at the output, I find that sometimes the
standard errors of CV1, CV2, CV3 and CV4 are extremely high. (ii)
Moreover, I found that pairwise correlation of the variables shows
that they are mostly correlated - at least at the 10% level, sometimes
even 1%. Might there be a collinearity problem?
Can anybody give me advice? I would greatly appreciate that!
Thanks in advance!
Johannes
CODE FOR BOTH MODELS:
/***MODEL 1***/
sem (y1 y2 y3 y4 <- PRAXREL) ///
(x1 x2 x3 x4 x5 x6 x7 <- BKA) ///
(x8 x9 x10 x11 <- KVSENIOR) ///
(x12 x13 x14 x15 <- KVL) ///
(BKA PRAXREL <- KVSENIOR KVL) ///
(PRAXREL <- BKA) ///
, standardized method(mlmv)
/***MODEL 2***/
sem (y1 y2 y3 y4 <- PRAXREL) ///
(x1 x2 x3 x4 x5 x6 x7 <- BKA) ///
(x8 x9 x10 x11 <- KVSENIOR) ///
(x12 x13 x14 x15 <- KVL) ///
(x16 <- CV1) ///
(x17 <- CV2) ///
(x18 <- CV3) ///
(x19 <- CV4) ///
(BKA PRAXREL <- KVSENIOR KVL CV1 CV2 CV3 CV4) ///
(PRAXREL <- BKA) ///
, standardized method(mlmv)
--
Johannes Kotte
Otto-von-Guericke-Universität | Faculty of Business and Economics|
Chair of Management and Organization (Prof. Thomas Spengler) |
Postfach 4120, 39016 Magdeburg | www.ufo.ovgu.de
Telefon: +49-173-6371955 | E-Mail: [email protected]
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