Structural Equation Modeling is 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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r package: CFA and missing data

I am running confirmatory factor analysis (CFA) with r. As I have several missing observations, I get two series of results, on "used" (152) and "total" ...
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+50

What's the relationship between the generalized squared multiple correlation and SEM explained variance?

I am testing this model. The value of .23 above the timedrs is the squared multiple correlation for that variable. I also ran the same analysis as two multi-step regressions. The results came out ...
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Is structural equation modeling (SEM) just another name of confirmatory factor analysis (CFA)?

I am reading some material about structural equation modeling. I found it to be extremely similar to confirmatory factor analysis - modeling a construct as the linear combination of several other ...
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How to fix a scale of latent variable measured by dichotomous indicators in SEM

How can I fix a scale of latent variable measured by dichotomous indicators in a structural equation model to estimate the mean of that latent variable? I know the mean of that variable (because I ...
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What is the phi matrix in SEM? [closed]

How is it found in the output? I am trying to do confirmatory factor analysis using sem function in R. Everything works fine, except I don't know how to obtain phi matrix. Below is my model ...
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39 views

SEM: What is measurement model?

I would like to know the definition of measurement model in SEM. Is it only about the latent variables? (THat's what I seemed to see what I google.) But I remember long time ago I read somewhere that ...
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1answer
24 views

Invariance test after CFA model

Should I do invariance test after my CFA model was created and model fits were good? Should I do common methods bias, too? If so, how do you do these procedures in AMOS?
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SEM Model - Factor Analysis

I am attempting to build an SEM model for the fulfillment of my post-graduate course. For the model I have attempted to do reliability analysis with Cronbach alpha and the results are depicted below: ...
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How to validate a model/hypothesis with multi-level model, in which one latent variable is connected to latent variables and no observed variables

I am using SEM library of R. Below is the model that I wish to test. How can I define this model to push into SEM ? Thanks.
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Questions on multiple imputation with MICE for a multigroup-SEM-analysis? (including survey weights)

I am planning to do a multigroup SEM analysis. I gathered survey data and calculated a survey weight. Some of my variables have item nonresponse (mostly around 5% missings). I´ve decided to use ...
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17 views

Factor loading in SEM

i have run a SEM model which has number of explanatory variables. in order to improve the GOF on my model i remove those variables which has low factor loading. but this affects the factor loading of ...
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How should I calculate required n for minimum power of a sequence of parallel or simultaneous tests?

I am concerned with the practical situation in which I design a 'no-budget' split-ballot 2 x 1 experiment. We have money for $n=80$ cases in total, thus $n=40$ in each of two groups. In total I will ...
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Best Methodology

I am currently designing a research project on mental health attitudes. I want to test a model that should explain the data. I have 5 variables that should lead in an almost linear causal pattern of ...
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Can I specify the sign of a coefficient in sem model?

Say there is a sem model that I would like to explore: ...
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Regression analysis or Structural Equation Modelling

I have a 26 items questionnaire refined by running Common Factor Analysis. As a result, I got 4 factors (f1, f2, f3, f4). Each factor is measured by 6-7 items in the questionnaire. These four ...
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1answer
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Does an underpowered mediation/moderation SEM have an increased chance of Type I error?

A study I'm familiar with has been encouraged by its review board to take more participants. This seems a sensible request on general grounds, but the reviewers suggested that it was essential to ...
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SEM design on dyadic data. Please help!

I have two surveys, and one is implemented to counselors. The questions ask about they feel about their relationship with their administrator. It has have two dimensions, let's say d1 and d2. I have ...
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1answer
29 views

How to use factor analysis / PCA / regression for data having serial IV and DV?

I have data regarding effect of a food chemical on blood and urine levels as well as effect on blood sugar and cholesterol. So I have following variables: ...
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1answer
51 views

Statistical models for Obesity data

I have a data on obesity status of women in a country. This data is based on across sectional study. Now I want to find the determinants of obesity among the women. Here dependent variable is binary ...
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1answer
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Studying complex systems (complexity)

Complex socio-technical systems is one my research interests. Since I plan to further study such systems and related phenomena, I've done a bit of reading and ran across various books, such as Bar-Yam ...
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64 views

Multilevel Modeling in stata

I would like to make a model that calculates the probability of disease. Range of variables are following: disease ~ (0, 1); score ~ (1-10); test ~ (0-30) Large values of test and score indicates that ...
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1answer
78 views

Identification problems with a structural equation model of experimental data

I have performed an experiment in which I manipulated three factors and I would like to model latent variables that those factors affect and then estimate the effects of the latents on response ...
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1answer
200 views

How do I interpret Lavaan output?

I am attempting confirmatory factor analysis (CFA) using Lavaan. Being new to this analysis, I am having a hard time interpreting the output produced by Lavaan. I ...
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1answer
65 views

Standard Deviation vs. Standard Error of the mean [closed]

In a medical drug test, which one is reasonable to report along with mean to summarize the variance? SD or SEM?
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Why use asymptotic covariance matrix when doing a SEM model?

I am constructing a structural equation model in LISREL. First I export the asymptotic covariance matrix and then the correlation matrix. Then I construct the SEM with a syntax that uses these two ...
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117 views

Unable to estimate standard error after freeing first indicator in SEM model - Why is it so?

I'm new to SEM + posting on this forum; do let me know if I'm being unclear in any way, and I'll do my best to clarify. Background I'm working on a SEM assignment to estimate the fit of a model, ...
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PLS PM: Multiplying outer loadings with inner path coefficients?

I'm referring to a method called PLS PM: http://cran.r-project.org/web/packages/semPLS/vignettes/semPLS-intro.pdf http://gastonsanchez.com/PLS_Path_Modeling_with_R.pdf Not going into detail, I just ...
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82 views

Exploratory Structural Equation Model (ESEM) in R: Exploratory Specification Model

Thanks in advance for your help. I have been trying to developed ESEM in R, and am hoping to generate some fit statistics for a 3 factor model. My data include 12 items and 213 observations. I ...
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40 views

Comparing multiple groups in SEM R

I am to compare several groups (depressed, bipolar, and controls) on many variables and I was advised to use SEM in R. I am teaching myself R at the moment but I am a bit confused. I am not sure how ...
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83 views

Specifying a path model with a mediator in R (Lavaan package)

Beginner's question about specifying a path model in the SEM package lavaan. The model I would like to specify is for an experimental design. There is a factor for the experimental condition (Int), ...
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1answer
14 views

SEM and multiple item / dimension scale

I have a 120 item, 18 facet, five factor model I am attempting to validate. I have attacked this by attempting to develop single congeneric models for each of the 18 dimensions, but am at a loss as to ...
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1answer
27 views

Structural Equation Model - Construct Operationalization

I'm building a Structural Equation Model and I'm trying to operationalize my Dependent Variable, the construct of "Investor Behaviour" (= whether or not an investor is willing to invest in a startup). ...
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93 views

Can I calculate average factor loadings from cronbachs alpha?

I was wondering if I could post hoc calculate the Fornell-Larcker criterion to assess dicricimant validity given the correlation matrix between several subscales and Cronbachs alpha for each subscale. ...
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Interpreting and simulating reciprocal relationships in path analysis

I'm trying to model how the process of habitat clearance affects the number of species in a landscape, using path analysis. I have the following variables: ...
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346 views

What is the “partial” in partial least squares methods?

In partial least squares regression (PLSR) or partial least squares structural equation modelling (PLS-SEM), what does the term "partial" refer to?
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1answer
38 views

In testing a structural model fit, how strongly do the measurement models fit influence the overall structural model fit?

I am a beginner in SEM, sorry if this is an obvious question. But I have searched the literature and could not find anything that answers my question (except for this question: SEM: Do I still have to ...
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1answer
123 views

When a CFA model has a “covariance matrix was not positive definite” problem, is it due to the dataset or the model?

I am testing several CFA measurement models with Lavaan in R. The questionnaire that I am investigating has been shown to be composed of 1-factor, 3-factor, and 4-factor. In the dataset, I found ...
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1answer
49 views

Multi Channel Attribution using Structural Equation Modelling

I am a beginner at modelling. I have to build a multi channel attribution model that attributes revenue to various channels touched over a period of time.I want to know how suitable will Structural ...
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30 views

SEM Model Comparisons

I am learning/applying SEM to survey data in a behavioural study. I am comparing two structural models - one is simply having all the latent explanatory variables pointing to the response latent ...
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2answers
140 views

Covariance among latent variables

In many SEM examples, we have noticed that covariances are specified between latent variables. My questions are: What are the advantages of specifying covariance in SEM models? If there is high ...
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35 views

Partial least squares structural equation modeling: simulate dataset based on a given model

Is there any R package or other software, with which one can generate a dataset based on a given pls structural equation model? For covariance based structural equation modeling I found the simsem ...
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1answer
35 views

CFA chi-square value ordinal variables

For my thesis I need to know how the chi-square value is computed with a CFA for ordinal variables, using DWLS (preferably in R). I know that for continuous variables the chi-square is computed in the ...
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1answer
108 views

Creating composite vairables in Structural Equation Modeling

I was wondering if you can help me. I want to run a pathway model using composite variables. Each composite variable is made up of 3 or 4 observed items. To create the composite variable to draw my ...
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1answer
128 views

A way to compute significance of R-squared change across models in a path model, or specifically lavaan?

I have a straightforward path model with a single endogenous variable and multiple observed predictors - in other words, a regression. (I'm doing it as a path model to be able to easily test ...
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1answer
26 views

Structural Equation Model

It is possible to include observed variables as part of the structural model. For example, to find the impact of latent variables on observed variable.
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121 views

Structural equation modelling: model selection

I am currently trying to fit a structural equation model in R with the Lavaan package. I have this model that fits my data pretty good. This model is what I consider the full model, it has all paths ...
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Comparing a model with a latent variable to one without

I would like to test whether my 3 dependent variables all load onto an underlying latent variable or if a latent variable is not necessary to explain the relationship between the IVs and the DVs. In ...
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Multiple groups - how to regularise estimate of level 1 parameters based on level 2

I am fitting some relatively complex structural equation models, but the specific model is not so important. I am estimating multigroup models, such that one parameter is completely free across ...
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Specifying a structural equation model with sem

I'm new to sem package and sem analyses, so this is probably very basic, although I was not able to solve it myself reading some other similar posts. I was trying to specify a structural equation ...
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51 views

Bad Model Fit indices - SEM

I am writing my doctorate thesis and testing the developped hypotheses by calculating a SEM. Unfortunetly, even though I deleted lots of items and even some factors (based on a reliability analysis, ...