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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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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13 views

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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22 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
28 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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13 views

Latent growth model with differing outcome measures across time points

I'm hoping to fit a latent growth model in a situation where the availability of outcome measures changes across time points. Specifically, looking at antisocial behaviour in developing youth where ...
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1answer
20 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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8 views

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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12 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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22 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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12 views

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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24 views

Correlation of latent variables: Sum-scores vs. SEM correlation

I use a set of about 20 attitudinal items. My aim is to investigate if these items represent a number of dimensions and to what extent these dimensions are correlated. Exploratory factor analysis ...
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14 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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29 views

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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2answers
30 views

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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0answers
70 views

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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1answer
71 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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1answer
172 views

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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25 views

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 ...
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86 views

Plottin lavaan SEM/CFA in APA-style

I like doing SEM's with lavaan. But I dont like reporting them because I haven't found a good way to plot them in APA-style. I usually rebuild the model in PowerPoint and add the parameters by hand. ...
2
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1answer
90 views

SEM variances of residuals fixed to 1?

I'm trying to perform structural equations with two second-order latent variables and five first order latent variables (since "a picture is worth a thousand words" I pasted my model below). To ...
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76 views

Multi-group SEM with a categorical outcome (using lavaan)

I'd like to ask the SO community for some help in regard to the interpretation of a structural equation model with three groups, featuring a categorical outcome. I have found a lot of sources treating ...
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1answer
52 views

Latent Class Models

What is difference(Or relation) between "Latent Class Analysis"and Structural Equation models" and "Latent Growth Curve Models"?
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30 views

Is this mediation or a simple path?

This is my model adapted from a study. I want to know whether I can only study it as a path analysis without studying mediation effect (1 $\longrightarrow$ 5 direct effect, as well as indirect ...
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2answers
493 views

What to do when CFA fit for multi-item scale is bad?

I am not sure how to proceed with this CFA im doing in lavaan. I have a sample of 172 participants (I know that’s not much for a CFA) and 28 items with 7-point Likert scales that should load on seven ...
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43 views

Answering Research Questions with Multi-level Structural Equation Modeling (ML-SEM)

This time, I have a more theoretical than computational predicament. I have a path model that I am interested in testing on a data set with two groups. It is a very simple two predictor model outlined ...
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37 views

Structural Equation Model design through AMOS, interpretation help

I have calculate the estimates through Maximum Likelihood procedure with model of six latent variables(presented in big ellipse) with respective observed variables (presented in rectangle) in AMOS ...
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55 views

R, lavaan package, latent change model: Definition of change parameter?

I'm currently struggling with the latent change model that I try to realize in R with the lavaan package. R can't estimate all standard errors, which makes me believe that the model is not fully ...
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1answer
34 views

Ill-labeled survey repairable by analysis?

Suppose a survey has five items with a six-point Likert scale. It has been rolled out with ill-formed labels: *the (2) was labelled by "somewhat disagree" instead of "disagree" - and vice versa the ...
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1answer
41 views

Structural Equation Models - building with a large sample, and testing with a small one?

I'm planning a study using Structural Equation Modelling to test different accounts of language learning. I would like to study a group of children with language difficulties. However, they are very ...
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49 views

gsem goodness of fit

does anyone have any advise how to obtain goodness of fit information after a gsem command (for a logit path model) in Stata verion 13? Or would you advise to use BIC and AIC instead? Thank you for ...
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1answer
80 views

Identifying Instrumental Variables to use in tsls function in sem R package

I want to reproduce the Example from Introduction to Econometrics by G. S. Maddala in R using tsls function from ...
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117 views

Is it possible to fit a Graded Response Model in Stata?

I've been reading about Item Response Theory during the past few weeks and I'd like to use it to examine how my scales are functioning. The response categories are ordinal. If I understood well, the ...
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1answer
101 views

How to cure Poor Fit Indices for CFA?

I am facing problem in getting the good fit indices. I have only 163 respondents with a total of 4 variables and 70 items (A: 5 components, 3-4 items each; B: 3 components, 8 items each; C: 4 ...
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49 views

Mediation analysis with two waves of data in AMOS

Does anyone know the best way of carrying out a mediation analysis when the IV, mediator and DV have all been measured at two time points? I'm wanting to do this using SEM in AMOs.
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1answer
40 views

Can specific residuals be compared in multigroup analysis using Lavaan in R?

Is there a way to statistically compare r-squared across 2 groups using nested models in multigroup analysis? I know how to use lavaan to test various other parameters across groups (e.g. regression ...
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1answer
180 views

Structural Equation Models (SEMs) versus Bayesian Networks (BNs)

The terminology here is a mess. "Structural equation" is about as vague as "architectural bridge" and "Bayesian network" is not intrinsically Bayesian. Even better, God-of-causality Judea Pearl says ...
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1answer
20 views

In CFA model, why observed measures operate as dependent variables?

I am curious that why in CFA model, observed measures operate as dependent variables. In my understanding, observed measures served as data point that estimating other parameters, such as latent ...
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0answers
103 views

Covariates in Path model

I am building a path model which links different psychological constructs. This is the replication of a model I have previously tested in another sample. The model fits the data well. When however I ...
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36 views

Why does this autocorrelation formula hold?

I have been unable to understand the highlighted subsection of David Kenny's Correlation and Causality, which I downloaded from Kenny's website.
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1answer
95 views

Why is error variance important in CFA?

I am reading the book related to SEM (Byrne, 1998) and it is stated that regression of the observed variables on the factor, and the variances of both the errors of measurement and the factor, as well ...
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53 views

Determining characteristics of sampling sets for EFA/CFA/SEM

Dividing sample data into several sets seems to be a common approach in statistics. This is especially evident in predictive modeling, where samples are traditionally divided into two sets, usually ...
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3answers
385 views

Reporting the use of different likert-scales in survey for structural equation modelling?

Suppose you are doing a survey and from the data you want to build a structural equation model. The research model consists of 5 constructs and each of them has between 2 and 5 items. The survey uses ...
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60 views

SEM: sample covariance can not be inverted

I am trying to fit a structural equations model, which looks like this: {model<- 'ambition=~NA*imprich+ipshabt+ipsuces+iprspot+0*ipeqopt+0*iphlppl altruism = ...
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60 views

Using transformed variables in SEM (using Amos)

Typically when I'm using Amos graphics I access my SPSS datafile and use individual items from a survey (observed variables) to make up my constructs (latent variables). In my current study, the ...
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1answer
300 views

How to create item parcels in SPSS Amos?

I am trying to run a SEM to see the causal relationship among latent variables. I ran the CFA and SEM using Amos, but I realized that the model is very complicated since one factor, which I originally ...
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42 views

having probllem with fit indices in SEM

I ve developed CFA to validate my model. fit indices show good fit. since every variable contain multiple questions. I impute to make composite variable for regression and checked the final ...
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0answers
28 views

Poisson regression on partially missing covariates

I'm reading an article where the author fits a Poisson regression on some data. Some of the covariates (but not the outcome) are partially missing. The author writes that he: conducted the ...
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0answers
26 views

Market Segmentation Test for SEM

I am working with SEM and would like to know how I could conduct a market segmentation test. I am trying the same model on two different samples and would like to test whether it's better to have them ...
2
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2answers
207 views

What test should I perform on a structural equation model?

This model is a replication of an earlier study. After factor analysis in SPSS, I need to test my hypothesis (as you can see there are 7) all should give significant positive relation with each ...
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1answer
75 views

SEM & Identification

Consider the following demand and supply model: Demand equation: $q=a_1p+a_2y+e^d$ Supply equation: $q=b_1+p+e^s$ The supply equation is identified because $y$ can be used as an ...