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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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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2answers
37 views

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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31 views

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
26 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
50 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
43 views

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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1answer
59 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
66 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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106 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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61 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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2answers
83 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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70 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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1answer
32 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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66 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
12 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
25 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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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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310 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
32 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
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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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1answer
43 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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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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34 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
32 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
93 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
121 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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21 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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107 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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29 views

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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45 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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75 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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37 views

“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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1answer
65 views

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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63 views

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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44 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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30 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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28 views

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 ...