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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Neural Networks Vs Structural Equation Modeling What's the Difference?

I'm studying about artificial neural networks (ANN) for the first time and I am struck by how the concepts of neural networks appear to be similar to structural equation modeling (SEM). For example, ...
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29 views

Degrees of freedom in multiple regression thought of as a path analysis using standardized variables

I keep reading that multiple regression is "just-identified" (df = 0) when viewed as a path analysis. If I'm using unstandardized variables, I believe this. For example, with five variables—4 ...
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20 views

CFA power analysis using existing Likert-type data with lavaan and simsem in R

To preface, this is my first foray into CFA and SEM, so please forgive me as I am likely making a number of unwitting mistakes. I am currently working on a study to validate a proposed psychometric ...
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18 views

Selecting the best SEM model based on goodness-of-fit statistics and number of observable variables?

I am a PhD student in the field of economics. As part of my research work I am setting a SEM model. I have designed two models that present acceptable goodness-of-fit statistics respectively. ...
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23 views

connection between standardized values in SEM output

I'm sorry if this seems a basic question. Can someone please tell me (once and for all) how standardized estimates in a SEM model are mathematically related? I don't understand how these values are ...
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6 views

CFA indicators - means across raters

I have a CFA model that has six items, each rated by 2 raters (no rater ids). The models with residuals across raters or items was nonidentified, and the second order model was non identified. The ...
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13 views

Getting different r-square values whe constraining the models to be equal (Testing invariance in structural model)

I compared the chi-square value from the model with all parameters allowed to be unequal across groups (e.g., parameters are set free) to the chi-square from the model where paths at time-point 1 and ...
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25 views

Poor model fit but significant and high path coefficient values in Structural Equation Modeling

I wonder if it is possible to have a poor model fit and at the same time strong significant and high path coefficient values among the latent variables? How would be interpret this? Also, what if we ...
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10 views

Question about the EFA model

Then, my supervisors suggested me to run EFA for the model but it ended up the items in the same group were being distributed to different groups, where the grouping of those items doesn't make sense ...
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27 views

Moderated Correlation

I am interested in the moderation of a latent correlation. The model consists of two latent variables with three and four indicators. The latent variables are correlated and influenced by a continuous ...
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48 views

Approach to conduct meta-analysis including data from structural equation modeling

I'm planning to write a meta-analysis on a topic in which there are both clinical trials and structural equation modeling papers. For clinical trials i can compute easily the effect size and analyze ...
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35 views

Why does SEM not allow endogenous variables to covary with other variables?

This crossed my mind when I was reading this stata forum post, at which it is written: SEM does not allow any endogenous variable to directly covary with any other variable, only regression ...
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29 views

Formative/composite variable as weighted additive index

I'm very new to SEM (and relatively new to stats generally). I would like to ask whether my plans generally sound reasonable before I get lost for days in the literature. The model that I try to work ...
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20 views

Scaled vs. unscaled Chi-square statistic in CFA / GRM fit evaluation

I generally want to assess the fit of a CFA model with ordered categorical indicators (the graded response model, GRM). There are two versions of this model, the normal-ogive GRM (ordered CFA with ...
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1answer
29 views

Can we use SEM for doing ANOVA?

I am studying the influence of gender on the attribution of motives in romantic relationships. IV= Gender; DV= Love Motive. The analysis can be done using a one-way ANOVA. I was wondering if the same ...
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20 views

Why are implied covariance matrices in SEM supposed to be nonpositive definite?

I read at this site some tips about what to do if the implied matrix is nonpositive definite. However, it's not clear to me why this is meant to be a problem. Is the reasoning just: - The population ...
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32 views

Graphical representation of null model, saturated model and independence model in SEM

Can someone give me a graphical representation for the null model, saturated model and independence model in SEM using one data set? I have read about these but still can imagine what that means, ...
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51 views

What is an intuitive definition/explanation of an intercept in SEM?

Some of my friends/colleagues have recently taken an interest in structural equation modelling, and I have been having to field an increasing number of questions about SEM. Often times, these ...
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32 views

Total indirect effects: Structural equation modeling

I'm trying to calculate the total indirect effects in a structural equation model with four exogenous latent variables, four latent mediators, and one outcome variable. Mplus gives the option for the ...
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29 views

Reporting SEM results: Standardized vs Unstandardized (LIKERT data)

When all latent constructs are measured by questions on the same likert-type scale (1-5), does it make more sense to report unstandardised coefficients rather than standardised ones? I believe this ...
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49 views

Total R-squared: Structural Equation Model

I'm trying to calculate the total R-squared in a structural equation model. Basically, I want to compare models based on the amount of variance accounted for by the endogenous variables in general ...
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38 views

Correlation residuals vs standardized residuals in SEM package in R

I've been working with SEM package in R recently that I happened to read it's manual for the standardizedResiduals. In the manual, Residuals are defined as S - C, where S is the sample covariance ...
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27 views

Change in coefficients when another factor is included in SEM

I have a question. Let's say in an SEM model, there is a significant relationship between A and B: A-> B (beta=.400). Sometimes if I add another factor (i.e., C) ...
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134 views

How to interpret the results when the models are constrained to be invariant in multi-group modeling

I have constrained two models to be equal, and based on the chi-square test there is no difference between the models, they are invariant. These two models contain exactly the same path coefficients; ...
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16 views

Solving for Bias in Simultaneous Equations Model without Instruments

Suppose you have the following structural equations where wage and status are determined simultaneously and you do not have any instruments for wage or status: $(1) \text{wage}_i = \alpha_w + ...
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19 views

Moderating Variable in R [closed]

I've been looking for Moderating equations in R but to no avail. Can somebody tell me how to write the moderating equations in R ? assuming one perdictor, one dependent variable and one covariates. Do ...
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33 views

Assessing fit of the CFA model with polytomous indicators (the graded response model)

I fit a graded response model using R package lavaan using function cfa. This function fits ...
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1answer
61 views

Possible explanations for high explained variance but poor model fit AMOS

I am currently doing some research and encountered this issue in one my SEM-analysis. The full SEM model has a very high explained variance (Squared Multiple Correlations) for the explained latent ...
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43 views

How to Simulate Random Multivariate Correlated Data and Uncorrelated Data for a given correlation coefficient and P value in R? [duplicate]

I want to simulate data with the same effect sizes and structure of my real data to perform sensitivity analysis for a pathway analysis(sem). Wesley has ...
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36 views

Structural Equation Modelling in R with Kmenta Dataset using package sem and RAM formulation

The supply-and-demand food example of Kmenta can be specified by two simultaneous equations containing two endogenous variables Q and P and three exogenous variables D,F and Y: The Kmenta data ...
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11 views

Can we multiply two observed items and use the composite item as single input variable for CFA/SEM analysis

Please tell if I can multiply two observed items and use the composite item as single input variable for CFA/SEM analysis. What term is used for this act of multiplying of items in SEM lingo (like ...
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69 views

A mixed effects model for learning curves

I have data for a time it takes an animal to fall off a rod (the longer the time the better the performance), which I collected three times a day over five consecutive days for the following balanced ...
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50 views

Path Analysis Vs Multinomial Logit

Would anyone be able to explain the logic behind using a Path Analysis over running several multinomial logits. The theoretical model I am testing has X1-3 mediating Y1. Y1 and X1 predict U1-3 (the ...
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69 views

Path analysis and multiple mediators

I have a study with two potential mediators: M1 and M2. I obtain a main effect of my independent variable X on the dependent variable Y. Similarly, I obtain an effect of X on M1, but I do not have an ...
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61 views

SEM with categorical complex survey data adjusting for cluster effect

My data comes from a two stage stratified cluster sample. There are some categorical (ordinal) manifest (dependent/endogenous) variables. I believe these variables can be divided into three major ...
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109 views

How to report the results of a complex path analysis?

I started with a model with 5 IVs and 7 DVs. This model had a poor fit (RMSEA = 0.405, CFI=0.760 or so). Most of my hypotheses were not confirmed, i.e. many regression coefficients were not ...
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18 views

Conceptual help with scalar invariance testing

I'm having trouble understanding why scalar invariance is needed in testing a certain type of model. Let's say I have employee and supervisor ratings of deviance. I want to look at what happens when ...
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43 views

Specify a nested model in lavaan?

I am interested in fitting two models using the 'lavaan' package in R. I have a psychotherapy data set that has a nested structure - patients nested within therapists. I'm interested in fitting a ...
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Adding mediation degrades whole model

Updated to a more straightforward question Upfront: Every time one adds a mediation term, should the model fit be expected to degrade? In more practical terms, using lavaan: ...
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35 views

Categorical data in SEM using AMOS. How to code and interpret results?

I'm using AMOS for carrying out a SEM in which I have a categorical variable measuring a latent construct. Do I have to code different variables with 0-1 (dummy) in order to find which one affects the ...
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2answers
60 views

Why is SEM/CFA failing to find the correct factors in this simple set up? Possible error in 'predict'?

I've been getting very odd factors in more complex models and simplify to this minimal case that behaves oddly vs my intuition. Suppose we have the generative model, where everything is IID Normal ...
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126 views

PROCESS macro in SPSS - Analysis for multiple IV?

I have a moderated mediation model with 4 IVs, 1 mediator, 1 moderator, and 1 DV. I can't find the right model in the templates provided by Andrew Hayes for his SPSS PROCESS macro. Can I carry out one ...
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47 views

Testing simple mediation model with two separate outcome variables

I'd like to test whether a variable mediates the relationship between an IV and 2 DVs. The DVs will likely be highly correlated, as they're essentially measuring opposite constructs. Should I do this ...
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104 views

Multiple hypothesis testing in SEM

When doing regressions, if we are testing multiple hypotheses, there are traditional ways to deal with it (e.g. Bonferroni correction etc.) And if we are also doing variable selection, there are ...
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216 views

Sum of rating scores vs estimated factor scores?

I'd be interested to receive suggestions about when to use "factor scores" over plain sum of scores when constructing scales. I.e. "Refined" over "non-refined" methods of scoring a factor. From ...
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146 views

Is there a Matlab package for Path Analysis or Structural Equation Modeling (SEM)?

As far as I understand, Path Analysis is a way to check if there is a causal relationship between several variables. There is a software package for SPSS called AMOS that can be used for Path ...
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52 views

SEM: Combining latent and manifest variables

I did a survey, using many intervall-scaled items representing several constructs. I want to use these constructs to predict an outcome (decision: yes/no). Thus, I got (latent) predictors to explain ...
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1answer
432 views

How are Cronbach's Alpha and Average Variance Extracted different in their interpretation?

Background: I do survey research on Information Systems. I have a latent construct that I measure with six survey items and reflective measurement model. Each survey item has a seven point Likert ...
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12 views

Is it possible to combine linear VAR restrictions with SVAR A/B restrictions?

I have been exploring the various restrictions that are commonly applied to (S)VAR models in textbooks on multivariate time series, noting that linear restrictions on VAR models seem to be treated ...
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Can I model first-order reflective second-order formative with only two first order latent variables?

I have run a SEM with two exogenous latent variables and three observed endogenous variables. My two exogenous latent variables are very highly related (correlation of .8). There are some unexpected ...