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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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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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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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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Is there any way to estimate my model other than SEM? [on hold]

My research model is shown below. I have been told to apply SEM. However, I have no clue how to run SEM. Is there any way that I can use another model?
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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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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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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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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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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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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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50 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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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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24 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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64 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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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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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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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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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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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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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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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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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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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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112 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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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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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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42 views

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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33 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, ...
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71 views

Multicollinearity Issue in SEM model

In our model we are getting multicollinearity issues. But the problem is that we can't combined the variables or drop certain variables to get rid of multicollinearity. Model Structure: My Model ...
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Zero-inflated mediator in a structural equation (MIMIC) model: dealing with structural zeros

My task is to estimate the impact of job change and its characteristics (e.g. voluntariness) on well-being. Well-being is measured at two time points, T1 and T2. Some respondents have changed jobs ...
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“object 'logl.H0' not found” - Error in fitMeasures when calculating AIC for Lavaan model

EDIT: SOLVED The problem seems to have been an explanatory variable that was a factor. If it is made binary numeric insted, the values of BIC and AIC is calculated alright. However, the analyses give ...
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How to estimate model where instrument is correlated with dependent variable

I have the following problem: I would like to estimate the effect of price variation caused by uncertainty on an outcome variable. P is my price, X is the variable measuring uncertainty and Y is the ...
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Time-variant & Time invariant & Time-related

In Longitudinal study, What are "Time-variant covariates", "Time invariant covariates" and "Time-related covariates"? and what is differences between them?
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Why is the R-Square of PROC CALIS a period

I am running PROC CALIS on some data and everything seems to work correctly, except the R-Square table has a . (period) for the R-Square of one of the measured dependent variables. Why would this be? ...
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41 views

Partial least squares regression on survey data with multiple scales

I have a survey data set composed of 7 scales, each scale with 7 to 10 items. The theoretical framework I've devised uses 5 of the scales as independent variables and 2 of the scales as dependent ...
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27 views

within-MZ twin model using sem in Stata

I'm working with some twin data and would like to estimate something exactly akin to xtreg using sem in Stata. The structure of the data is pretty generic: there's a family id, there's a within family ...
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How to model dynamic relationships in panel data when units exhibit heterogeneous variance

So I'm taking a look at a dataset of about 200 individuals, each with a number of variables measured 50 times longitudinally. A lot of these variables are subjective, and scored on a scale of 0-100, ...
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Correlation of latent variables: Sum-scores vs. SEM correlation

I use a set of about 20 attitudinal items and confirmatory factor analysis (CFA). Loadings and model for are sufficient. In the next step, I want to test for correlations between these latent factors. ...
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structural equation model based on generalized maximum entropy in R

I am trying to conduct an experiment based on generalized maximum entropy but I am not sure on how GME is different from maximum entropy. Can anybody tell me how to reparametized the SEM based on GME ...
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How to use SEM for prediction?

I am working on a structural equation model (SEM). The goal in the model is to model the level of satisfaction with commute to work. I already fit the model to the data I have; however, what I would ...
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Confirmatory factor analysis without the raw data

I have the correlation matrix, sample sizes, and descriptive statistics for a set of variables. I know that it is possible to run principal component analysis (PCA) and exploratory factor analysis ...
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Count data in a Structural Equation Model

I am currently trying to fit a structural equation model (SEM) on a certain dataset using R (lavaan package). Some of the most important variables in my model are count data (abundance of different ...
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138 views

Paired samples t-test using a structural equation modeling approach

Is it possible to perform a paired samples t-test in a structural equation modeling (SEM) program? I am confused, as I have found on the web that you can run a Wald test, but I am not sure if it is ...
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Multiple imputation introduces negative values; dataset still valid?

After some detective work in my data sources, I realized the reasons for my previously reported 98% of missing data ratio. After implementing some data collection code fixes, the current missing data ...
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Conceptual links and differences between generalized and latent models

Please bear with me, as I'm trying to better understand these aspects. My understanding is that (finite) mixture models (MM) are characterized by a presence of a number of sub-populations in a ...