structural equation modeling, a multivariate technique popular in social sciences. It is based on formulating a set of linear relations between variables, some of which may be latent, and estimating the whole system, typically by analyzing the covariance matrix of the observed variables.
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32 views
Alternatives to the Baron-Kenny approach to modeling mediation
I'm about to open the door to a very thorny issue in the social sciences. How does one correctly model and test hypotheses about mediating variables using observational data?
I'm familiar with the ...
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10 views
What's the difference between a feedback loop and a bidirectional path?
I had always thought that the relationship between x and y here was a bidirectional path. However, I note that Kenny at http://davidakenny.net/cm/iv.htm describes it as a feedback loop.
That makes ...
2
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1answer
53 views
What does it mean to correlate residuals in SEM?
I have been reading a paper by Cole, Ciesla, and Steiger, which argues in many cases allowing residuals to correlate is justified. However, I am not entirely sure what it means for residuals to ...
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31 views
pdf of multivariate normal distribution
I have a question concerning some sentences in the book Structural Equations with Latent Variables (Bollen) at page 132 (bottom) and page 133 (top) regarding the pdf of the multivariate normal ...
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20 views
Should experimental treatments be treated as exogenous variables in structural equation modelling?
Say I have 2 experimental treatment (e.g. wearing a hat(hat/no hat) & wearing sunscreen(wearing/not wearing)) that are hypothesized to influence 2 latent variables (e.g. perceived sun protection ...
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16 views
How to specify a path model with exogenous variables jointly affected by an unmeasured variable
I’ve simulated some data consisting of one response variable (‘y’) and two collinear predictor variables (‘Amount’ and ‘MPS’), where collinearity arises from one of two causes: (1) Amount causes MPS, ...
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52 views
How to interpret negative factor loadings and residual variances in SEM?
I've been trying to fit a SEM model, using misconceptions and the correct conception as latent variables.
My instrument is a set of items that ask a binary yes or no question. (Is something in a ...
2
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0answers
50 views
Structural equation model with very small samples
I have two sets of a longitudinal data that I hypothesize to measure same latent construct.I am trying to test this hypothesis using Structural equation modelling technique. Basically, I am trying to ...
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18 views
Model fit in AMOS - ADF vs ML
I am performing a confirmatory factor analysis (CFA) in AMOS using asymptotically distribution free estimation (ADF) because my data are non-normal and I have a big sample (N = 1600). The root mean ...
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1answer
19 views
Suppression or incidental/accidental cancelation?
I am analyzing data using path analysis and I am hoping someone here can help.
In my model, I am looking at predictors of a variable, Y. In the path model, Y has 4 significant predictors lets call ...
0
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0answers
27 views
Chi-square difference test for assessing discriminant validity
I would like to understand about the concepts and methods of chi-square difference test to test discriminant validity for measurement model in SEM.
Pleas tell me and you can raise the examples that ...
1
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1answer
73 views
Regressing latent variables on observed variable using `sem` package in R
I'm having difficulty with some syntax in R using the sem package. I'm trying to do the following:
Create four latent variables with three (attitudinal) ...
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18 views
Path sampling in AMOS 21
I use AMOS 21 to estimate BSEM. Is it possible to perform path sampling (Song & Lee, 2012) using AMOS 21?
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18 views
Bayes Factor calculation in AMOS
The fit statistics for a Bayesian SEM in AMOS does not provide a Bayes factor. How do I calculate a Bayes Factor in AMOS 21?
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2answers
156 views
Regression and simple SEM: identification and model comparison
I have two problems I am trying to solve. I am using MPLUS, but I have very general questions for which MPLUS knowledge will not be necessary.
Terminology: y = DV, x = IV
(1) Simple regression ...
3
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1answer
75 views
Path analysis or a full SEM?
I have been researching this topic for some time now and was after some opinions or comments.
Are there any situations where a path analysis (a form of SEM) might be more appropriate than a full SEM? ...
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1answer
94 views
Interpretation of Residual Covariance
I have recently begun using the Structural Equations Modeling (SEM) Method of confirmatory factor analysis for a research endeavor in educational science. My question is, suppose I have two latent ...
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42 views
When two variables are correlated, how can I draw two variables for SEM using AMOS?
I would like to use AMOS for SEM. According to the literature, either (1) worry is correlated with anxiety, or (2) worry is characterized by anxiety.
Would you help me as to how I can draw one ...
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1answer
99 views
What is the difference between standardized and unstandardized estimates in SEM (thinking of AMOS in particular)?
AMOS, like other SEM packages offers standardized and unstandardized estimates of the parameters. What is the difference? Are unstandardized estimates based on the covariance matrix and standarized on ...
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1answer
189 views
Regression in SEM programs vs regression in statistical packages such as SPSS
Contex
Multiple regression with continuous variables.
Conventional statistical packages, e.g. SPSS, lm() in R, typically give me an F value, dfs, and a significance test on whether the model is ...
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1answer
128 views
Model Identification
Could somebody please explain why this model is "just identified"
As I see it, there are 5 * 4 / 2 = 10 variances/covariances, 4 observed means, giving 14 available degrees of freedom
5 DF are ...
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127 views
Non normal data
My model has seven independent variables and one dependent variable. Each are subscales for a 5 point likert scale questionairre. I tested each variable data and they are all non normal. I did ...
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2answers
208 views
Troubleshooting underidentification issues in structural equation modelling (SEM)
Background
Introduction
I have a data set consisting of data collected from a questionnaire that I wish to validate. I have chosen to use confirmatory factor analysis to analyse this data set.
...
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44 views
Measuring Skewness and Kurtosis in MPlus
I am trying to measure the skewness and kurtosis in MPlus using the below syntax.
Variable:
Names are
SX1-SX3 OX1-OX4 UX1-UX4 RX1-RX4;
Classes = C(1);
...
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1answer
114 views
Confirmatory factor analysis using SEM: What do we do with items with zero variance?
When I run my analysis with items with zero variance, sem in R would throw up a warning saying that items with zero variance ...
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51 views
Path analysis of empirically evauluated model and sample size
I am new to the Path Analysis and ESM. I have been doing reading on this method, but still feel very much confused.
I have a empirically evaluated failure model having 45 variables connected with ...
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1answer
203 views
High SRMR despite good fit based on other indices in SEM (latent growth curve)
Context: Latent Growth Curve Modeling for continuous variable with 15 time points. One intercept, two slopes (for first and ...
2
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1answer
104 views
Definition of simultaneous equation modelling
I have been asked to comment on a statistical analysis proposal that suggests using simultaneous equation modelling as a method. I have a basic general knowledge of statistics (Masters level) but ...
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2answers
314 views
SEM or path analysis using AMOS, issues with sample size and model complexity
I am new to SEM / AMOS and as such I have done a lot of reading around my problem but find I am getting lost, any help would be appreciated and I am sorry if this sounds rather basic;
I have a model ...
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0answers
97 views
Minimum sample size for PLS SEM
I have a structural model with 6 latent variables and 26 related items (indicators). The maximum number of indicators for a latent variable is 5. How should I calculate the minimum required sample ...
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0answers
131 views
Matrix of correlations between the residuals in a SEM fitted by R systemfit function
Assume we would fit this model with systemfit() from the systemfit R package.
$y = \beta_1 x + \gamma_1 z + u$
$z = \beta_2 w + \gamma_2 y + v$
Now I can get an ...
3
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1answer
31 views
What does “static” in the context of a SEM mean?
I just stumbled upon a wiki article:
http://en.wikipedia.org/wiki/Endogeneity_(economics)#Omitted_Variable
In the section "simultaneity" theres a description of a model which says that both ...
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0answers
115 views
Discussion about proxy- and instrument variables and endogeneity in the context of a multi equation model
Assume two equations
$Y_1 = X_1\beta_1 + X_2\beta_2 + U_1$
$Y_2 = X_1\alpha_1 + X_2\alpha_2 + U_2$
Further assume that $ \ U_1 = X_4 + E_1$ and $U_2 = X_4 + E_2$
with $ \ corr(Y_1,X_4)\ne 0, \ \ ...
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119 views
Very high correlation between two variables in SEM as compared to SPSS
I am testing a model which involves three variables. I am testing a partial mediation model.
In SPSS, when I calculate bivariate correlation among these three variables, the maximum correlation (say ...
2
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1answer
184 views
two questionnaires, two variables, two populations but one correlation
I have two variable in my research. the first is managers commitment & the second is personnel satisfaction. so we have two population & two questionnaire, one for managers & the other ...
1
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1answer
84 views
Effects of replacing missing data with mean or median?
When preparing data for use with Covariance-based Structural Equation Modeling (CB-SEM), what are the different effects of replacing missing data with mean or median? When is one of them more ...
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1answer
43 views
How do you determine the effect of a simple predictor variable after a PLS analysis?
So, I am running PLS on a genetic dataset with phenotypic and genotypic information. I have about 1000 binary predictors (X), representing molecular markers, for each individual. My indicator ...
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115 views
Good CFA fit indices, but poor fit indices at structural equation modeling
I am currently working on my research and I have the following problem. I have conducted a CFA on all model variables and after deleting the troublesome items, the CFA yielded good fit indices.
...
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1answer
134 views
Being totally stuck at my master thesis: cant figure out this 3 equation SEM
I got smth which looks like this
$y_1 = \alpha_1\cdot y_2 + \alpha_2\cdot y_3 + X\cdot\alpha_3 + u_1$
$y_2 = \beta_1\cdot y_1 + \beta_2\cdot y_3 + X\cdot\beta_3 + u_2$
$y_3 = \gamma_1\cdot y_1 + ...
3
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1answer
127 views
Which model to use with repeated measures data that contains multiple binary dependent variables
What model should I use??? I have daily repeated measures data. It has multiple dependent presence absence variables, (of which, I have collapsed into a CA with continuous variables of CA1 & ...
2
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1answer
327 views
How to control for common method bias?
I am doing CFA to test for common method bias using an unmeasured latent construct method. The average common variance I am getting from the common factor is about 31% which is high (as should be less ...
1
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1answer
125 views
Formative model identification problem using SEM
I have problem in identifying a formative structural equation model using AMOS.Does anyone have any suggestion for dealing with the identification problem in formative measurement models?
2
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1answer
376 views
What does a chi-square value of zero means in CFA?
I am new to SEM and I am trying to run CFA for a 3-item Job satisfaction scale in Amos. I am getting the following as results.
...
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0answers
115 views
Confirmatory factor analysis (CFA) before complete SEM model: one CFA for each scale or one CFA for all of the scales together?
I have a doubt regarding confirmatory factor analysis (CFA). I have three different constructs, each one with its corresponding scale:
1) resilience (3 dimensions, 4 items each)
2) humour (3 ...
0
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0answers
69 views
Using an Industry as the unit of analysis [closed]
The title of my PhD research is "The effect of Technology Transfer on competitive advantage in Omani oil and gas industry".
My research is a quantitative research and I'm going to use Structural ...
2
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2answers
566 views
Whether to use correlation matrix between latent variables or raw data as input to SEM?
I have a fairly large model - a total of 8 latent variables and each one has 10 items (observed variables). Drawing this model is a mess (there is a mediation effect as well).
Is it better to just ...
4
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1answer
172 views
Comparing structural equation models with multivariate non-normality
I am aware that multivariate non-normality in SEM can inflate the chi-square statistic and deflate standard errors of parameter estimates. I can deal with the latter (in AMOS) using bootstrapping ...
2
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0answers
52 views
About Identification in a 3 equation SEM
I got this example and I was wondering about a certain statement:
$$
\begin{aligned}
y_1 &= \alpha_{12}y_2 + \alpha_{13}y_3 + \beta_{11}z_1 + u_1 \\
y_2 &= \alpha_{21}y_1 + \beta_{21}z_1 + ...
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0answers
358 views
Model fit: Is CMIN/DF affected by sample size?
I'm doing a couple of confirmatory factor analyses (CFA) using different scales. My sample size is 1472 individuals. I read in the AMOS Manual the following about CMIN/DF: "different researchers have ...
3
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2answers
425 views
Are composite variables (eg. a score) valid to perfom a SEM in AMOS?
I have a resilience scale with 11 items (observed variables), from which I calculated the mean to get a "resilience score" (what would usually be an unobserved variable or latent construct in SEM ...
