Displaying 20 results from an estimated 5000 matches similar to: "Link functions in SEM"
2009 Jan 12
3
polychoric correlation: issue with coefficient sign
Hello,
I am running polychoric correlations on a dataset composed of 12 ordinal and
binary variables (N =384), using the polycor package.
One of the association (between 2 dichotomous variables) is very high using
the 2-step estimate (0.933 when polychoric run only between the two
variables; but 0.801 when polychoric run on the 12 variables). The same
correlation run with ML estimate returns a
2012 Nov 01
2
SEM validation: Cross-Validation vs. Bootstrapping
Hello All,
Recently, I was asked to help out with an SEM cross-validation analysis. Initially, the project was based on "sample-splitting" where half of cases were randomly assigned to a training sample and half to a testing sample. Attempts to replicate a model developed in the training sample using the testing sample were not entirely successful. A number of parameter estimates were
2005 Oct 10
1
SEM with dichotomous indicators
Hello,
I'd like to know if there is a way to fit a Structural equation model with
dichotomous indicators (ex: problem with a phone solved/ or not) having
effects on a ordinal variable.
How I do that using R?
Do you have an example with the code in R that you can send to me?
Thanks a lot!
Renata Estrella
UFRJ, Brasil, Rio de Janeiro
Renata Leite Estrella
Assistente de
2011 Mar 17
2
Incorrect degrees of freedom in SEM model using lavaan
I have been trying to use lavaan (version 0.4-7) for a simple path model,
but the program seems to be computing far less degrees of freedom for my
model then it should have. I have 7 variables, which should give (7)(8)/2 =
28 covariances, and hence 28 DF. The model seems to only think I have 13
DF. The code to reproduce the problem is below. Have I done something
wrong, or is this something I
2008 May 12
1
RPM-style install (SLED 10.1)
I am trying to install R on a SLED 10.1 machine.
R-base-2.7.0-7.1-i586.rpm fails with
stas at linux-6b8s:~/RPMs> rpm -Uvh R-base-2.7.0-7.1.i586.rpm
warning: R-base-2.7.0-7.1.i586.rpm: Header V3 DSA signature: NOKEY,
key ID 14ec5930
error: Failed dependencies:
libgfortran.so.1 is needed by R-base-2.7.0-7.1.i586
I tried to trick it into believing there's the library by setting up
2009 Dec 26
5
Is SEM package of R suitable for sem analysis
Dears,
I'm a college student and In doing my statistics homework.
I use R with SEM package as my tool for sem analysis,
but my teacher told me AMOS is more suitable for such analysis.
Could someone help tell me whether it is true
that some commercial software is better accepted in academic fields?
Sorry if I should not post such topics here.
--
Best Regards,
Reeyarn T. Lee
Accounting
2008 Apr 01
1
SEM with a categorical predictor variable
Hi,
we are trying to do structural equation modelling on R. However, one of our
predictor variables is categorical (smoker/nonsmoker). Now, if we want to
run the sem() command (from the sem library), we need to specify a
covariance matrix (cov). However, Pearson's correlation does not work on the
dichotomous variable, so instead we produced a covariance matrix using the
Spearman's (or
2010 Mar 02
1
sem package and growth curves
I have been working through the book "Applied longitudinal data analysis: modeling change and event occurrence" by Judith D. Singer and John B. Willett. I have been working examples using SAS and also using it as an opportunity for learning to use R for statistical analysis.
I ran into some difficulties in chapter 8 which deals with using structural equation modeling. I have tried to
2002 Feb 21
2
Re: Factor analysis of categorical or mixed categorical/continuousdata in
I am looking to fit one or more latent categorical variables to data that is
a mixture of categorical and continuous variables. Factor analysis would
work for continuous data, latent class analysis for categorical data. I
understand that in a package such as MPlus I could perform a single analysis
of both data types. Are there similar routines available in R?
Stuart
-----Original Message-----
2007 Aug 12
1
SEM for categorical data
Hi
I am looking for a structural equation modeling package in R which can be
used for categorical data. Is anyone aware of the existence of such a
package? Would appreciate any help on this.
Thank you
Upasna
--
---------------------------------------------------------------------
Upasna Sharma
Research Scholar
Shailesh J. Mehta School of Management,
Indian Institute of Technology, Bombay
2008 Nov 04
2
ordered logistic regression of survey data with missing variables
Hello:
I am working with a stratified survey dataset with sampling weights
and I want to use multiple imputation to help with missingness.
1. Is there a way to run an ordered logistic regression using both a
multiply imputed dataset (i.e. from mice) and adjust for the survey
characteristics using the weight variable? The Zelig package is able
to do binary logistic regressions for survey
2013 Jan 23
2
CFA with lavaan or with SEM
Hi
Sorry for the rather long message.
I am trying to use the cfa command in the lavaan package to run a CFA however I am unsure over a couple of issues.
I have @25 dichotomous variables, 300 observations and an EFA on a training dataset suggests a 3 factor model.
After defining the model I use the command
fit.dat <- cfa(model.1, data=my.dat, std.lv = T, estimator="WLSMV",
2009 Jan 09
1
survey statistics, rate/proportions with standard errors
what does R have to compare with , say , proc surveymeans, estimate survey
means/proportions with standard errors, using Taylor methods?
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2008 Aug 20
2
Quantile regression with complex survey data
Dear there,
I am working on the NHANES survey data, and want to apply quantile
regression on these complex survey data. Does anyone know how to do
this?
Thank you in advance,
Yiling Cheng
Yiling J. Cheng MD, PhD
Epidemiologist
CoCHP, Division of Diabetes Translation
Centers for Disease Control and Prevention
4770 Buford Highway, N.E. Mailstop K-10
Atlanta, GA 30341
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2009 Apr 14
1
import from stata
Dear R users,
I am trying to import a table from STATA, a dta file.
With a table called "table", this is what I do :
library("foreign")
read.dta(table)
It does not work. What am I doing wrong ?
Best Regards,
Dwayne
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2009 Aug 31
1
Test for stochastic dominance, non-inferiority test for distributions
Dear R-Users,
Is anyone aware of a significance test which allows
demonstrating that one distribution dominates another?
Let F(t) and G(t) be two distribution functions, the
alternative hypothesis would be something like:
F(t) >= G(t), for all t
null hypothesis: F(t) < G(t), for some t.
Best wishes,
Matthias
PS. This one would be ok, as well:
F(t) > G(t), for all t
null
2009 Jan 19
3
bootstrapped eigenvector method following prcomp
G'Day R users!
Following an ordination using prcomp, I'd like to test which variables
singnificantly contribute to a principal component. There is a method
suggested by Peres-Neto and al. 2003. Ecology 84:2347-2363 called
"bootstrapped eigenvector". It was asked for that in this forum in
January 2005 by J?r?me Lema?tre:
"1) Resample 1000 times with replacement entire
2008 Aug 18
1
Survey Design / Rake questions
I'm trying to learn how to calibrate/postStratify/rake survey data in
preparation for a large survey effort we're about to embark upon. As a
working example, I have results from a small survey of ~650 respondents,
~90 response fields each. I'm trying to learn how to (properly?) apply
the aforementioned functions.
My data are from a bus on board survey. The expansion in the
2008 Jan 12
2
Factor Analysis
Good Morning,
Is it possible to use the R program for a CFA with dichotomous data?
Thank you,
Kathleen
Kathleen Kemp, M.A.
Doctoral Clinical Psychology Student,
Concentration: Forensic Psychology
Drexel University
Philadelphia, PA 19104
kk354@drexel.edu
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2004 Feb 26
2
Structural Equation Model
Hello all!
I want to estimate parameters in a MIMIC model. I have one latent
variable (ksi), four reflexive indicators (y1, y2, y3 and y4) and four
formative indicators (x1, x2, x3, x4). Is there a way to do it in R? I
know there is the SEM library, but it seems not to be possible to
specify formative indicators, that is, observed exogenous variables
which causes the latent variable.
Thanks,