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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Can the error variance for a factor in CFA be > 1?

I am doing a CFA for 5 constructs, and all together having 23 items, and each construct having a minimum of 3 items each. The error variance of two items are 1.21 and 1.08. How can the error variance ...
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1answer
31 views

providing mean, sd, and correlations in sem

it is advised to provide mean, sd, and correlations of the data as the best practices in writing sem. However, the books I read did not mention how to obtain or provide those scores from the latent ...
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1answer
13 views

Is RMSEA an absolute or relative fit statistics test?

I've been studying Structural Equation Model and I have a doubt about RMSEA. In the book Principles and Practices of Structural Equation Modeling Kline treats RMSEA as an approximate fit index (p. ...
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10 views

When would one pre-specify thresholds in SEM/CFA for limited dependent variables?

I'm working on a structural equation model with limited dependent (discrete) variables using lavaan (0.5-17) in R (3.1.2). I have found that if I define the thresholds for the categorical variables, ...
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22 views

How to identify a SEM with formative dependent variable (with R's lavaan package)?

I have a formative construct in a structural equation model (SEM) which I would like to estimate with the function sem in the ...
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1answer
29 views

How does the $\chi^2$ test tests the overall fit of a structural equation model?

I understand the $\chi^2$ test tests the model fit based on the comparison between the observed and null covariance matrices. Can someone explain to me how to compute the null matrix?
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15 views

Why do I have modification indices for free parameters?

Here is my SEM model; ...
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7 views

Unable to estimate CFA models with equality constraints in R [migrated]

I am trying to teach myself confirmatory factor analysis by working through examples in a textbook. The textbook only contains syntax for LISREL or SAS but I'm trying to learn it with R. When I ...
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1answer
17 views

Latent variables in covariance based structural equation modeling

In the partial least squares approach to SEM the latent variables are a weighted sum of their manifest variables: $$LV_{1}=w_{1}X_{1}+w_{2}X_{2}+w_{3}X_{3}$$ I think this refers to the composite ...
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1answer
13 views

How is $R^2$ calculated in the lavaan package for structural equation modeling?

I am doing a study for which I tested a model like this: Model1: Var1 --> var2--> var3 --> var4. All variables are latent variables and have several indicators. Now, the $R^2$ of var3 is 0.4 in this ...
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59 views

Conditional Distribution in Structural Equation Modeling

Let $\{\mathcal{N}(y_i;\mu(\theta),\Sigma(\theta):\theta \in \Theta\}$ be an SEM, where $y_i$ is one observation and $\theta$ a parameter vector. Let's say there are a lot of missing values in our ...
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1answer
31 views

SEM (Structural equation modelling) Assumptions

I’m looking into SEM (Structural equation modelling using covariance matrixes) as an analysis technique and am finding it difficult to find consistent information on the assumptions of the technique. ...
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1answer
16 views

How do you read the coefficients in Structural Equation Model for prediction?

I understand that in regression, the beta weight can be used for prediction. For example: Depression =~ 1 + 0.5*Loneliness Suppose that depression and loneliness are measured with Likert Scale from 1 ...
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16 views

create interaction term between binary variables in path analysis use R lavaan package

I am using R lavaan package to do a path analysis. In my model: X ~ A + B Y ~ A + B + X Both A and B are binary factors. So, in lavaan they will be treated with dummy coding. That is, A (0, 1) and B ...
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1answer
45 views

Can we settle this STD vs SEM debate once and for all? [closed]

OK, I AM getting tired of seeing the SEM used simply as a means of reducing the size of error bars. If the SEM is a measure of the precision of a mean from a sample, then in my mind one cannot ...
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17 views

parallel process growth model interpretation

In a parallel process growth model (process A and B): in the unconditional models for A and B: mean slope SA is negative and mean slope SB is negative and quadratic factor QB is positive when ...
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28 views

Structural Equation Modeling Two-Step Method

I have a question regarding the two-step method for performing a structural equation modeling problem. The two-step method indicates that you should 1) First construct the Measurement Model to ...
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2answers
40 views

Reporting results when using dummy variables

The model I am working on includes a control variable with 6 categories. These categories have been added to the structural equation model (SEM) as dummy variables. I understand how to interpret the ...
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20 views

Is there a way to compare total effects (multigroup analysis in AMOS)?

I've performed a multigroup analysis in an SEM, with two mediators in the model. I was wondering if there is a way to compare the total effects, rather than only the different direct effects? I know ...
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22 views

Measurement model of my data is perfect but Structure model very poor? why?

First order reflective Measurement model is perfect on all psychomterics (AVE, CR,), but when it comes to structural paths majority of them are insignificant,AND EVEN r^2 is below .50 why so?
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29 views

Correlation is moderate but Path coefficients (in pls-sem) show insignificant results

I am performing PLS-SEM analysis (usng plspm package), the outer loading's are significant as CI do not include zero on any of them However, large number of path coefficient's (i.e, inner model)are ...
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12 views

Is it OK to correlate error covariances in LISREL?

Is it valid to let the error covariances of two variables belonging to two different latent variables to correlate? in LISREL for example
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46 views

Can Amos SEM deal with binary dependent variable?

Hi I'm doing a SEM using AMOS. The outcome is the success of consumer satisfaction, which is measured by 2 questions. How satisfied are you? (1-7) How likely would like to recommend ? (1-10) If ...
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21 views

Bayesian SEM in AMOS - suggest resources?

I'm looking for resources regarding Bayesian SEM estimation using AMOS built-on procedures (I have ordered categorical data). Google gives some basic resources on theory, but not so much on ...
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46 views

Construct validity via SEM

It's often seen that convergent and divergent validity of a construct is checked via manifest correlations. I asked myself if such an approach can be replaced by testing a whole SEM containing the ...
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Covariance between exogenous variables

I am new to SEM and am finding my way around Amos. I am wondering if exogenous variables always have to be declared as covarying even if there is no theoretical reason why they should and they are ...
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22 views

Measurement Invariance

My colleagues and I are analyzing data by using multi-group SEM. Background We would like to know how individuals' commitment in a specific leisure activity influences their well-being. ...
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1answer
32 views

Parameter Estimates in SEM

I am trying to understand how parameter estimates in structural models are calculated. I have searched through various SEM textbooks, journal articles, etc. and have not found a good description of ...
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1answer
43 views

SEM - sample size and power

Muthén & Muthén offer a MPLUS based syntax for calculating sample size and power on SEM, using a Monte Carlo simulation. https://www.statmodel.com/download/FinalSEMsingle.pdf Is there any ...
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24 views

Book on structural equation modelling/ confirmatory factor analysis

Is there any "state of the art" book on SEM/CFA that you can recommend? I am looking for something that offers both some theory and some practice and I am using R with lavaan. I am a psychologist ...
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1answer
40 views

linear path models vs. pls path models (structural equation models)

Assume we have the following linear path model: Structural (inner) model: $Y_{1} = \beta_{1}Y_{2}+\theta_{1}\delta$ Measurement (outer) model: $X_{1} = \lambda_{1}*Y_{1}+\epsilon_{1}\delta$ ...
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28 views

Planned missing data design not converging

I recently ran an experimental study with a planned missing design. Participants were randomly assigned to one of four groups that dictated which portion of a 26-item unidimensional measure they ...
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27 views

Validating formative model - statistical analysis

Based upon literature I have developed a model which I want to validate. Data gathering will be done with the use of surveys. My knowledge of statistics, or more the lack thereof, has raised some ...
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1answer
39 views

How do I combine various factors/variables to a single factor/variable

I have various products and for each product I have 5 types of cost(not just monetary cost) variables associated with it, the value of each variable for any product is a positive integer. I want to ...
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12 views

Is SEM appropriate for this problem?

I want to estimate some latent variables but I'm not 100% sure that Structural Equation Modelling is the correct way to do it, or if there are any easier solutions. I have a pretty basic graph <50 ...
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83 views

How to use formative indicators in covariance-based SEM with lavaan?

I'm trying to build a covariance-based structural equation model (SEM) using both reflective and formative specifications of latent variables. I use the sem ...
2
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1answer
51 views

Latent variable values in structural models

I am beginning to go through SEM textbooks and research in order to understand the logic and reasoning for the analysis. I believe that I will be using this type of analysis in the near future for my ...
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29 views

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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238 views

How should I interpret the generalized squared multiple correlation?

I am testing this model in SPSS AMOS. The value of .23 above the top right corner of timedrs is the squared multiple correlation for that variable. I also ran the same analysis as two multi-step ...
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1answer
58 views

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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29 views

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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41 views

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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1answer
216 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 ...
2
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1answer
66 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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17 views

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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2answers
192 views

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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1answer
30 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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38 views

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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17 views

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 ...