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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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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37 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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40 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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1answer
27 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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16 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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33 views

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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16 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
40 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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1answer
32 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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1answer
38 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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1answer
22 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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138 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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31 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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1answer
28 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
26 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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8 views

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 ...
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1answer
61 views

Can lavaan (SEM/CFA) be used to do factor analysis like factanal (EFA)

I understand that lavaan is designed to do SEM/CFA while the R function factanal does EFA. EFA and CFA seem very very similar, ...
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20 views

Poor Model Fit - Path Analysis using AMOS

I have a dataset that has around 2400 records. When I tried path analysis using AMOS, I am getting a poor model fit. I am wondering if there is aways to justify the poor model fit? Also, is it fine to ...
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17 views

What is the best statistical model for my binary outcome variable? Logistic or Structural equation model?

I have one dependent variable with binary outcome. List of independent explanatory variables that are categorical. I need to find out whether the list of explanatory variables influence the dependent ...
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1answer
43 views

What's the difference between a MIMIC factor and a composite with indicators (SEM)?

In structural equation modeling with latent variables (SEM), a common model formulation is "Multiple Indicator, Multiple Cause" (MIMIC) where a latent variable is caused by some variables and ...
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9 views

Exploring the effect of test-taking strategies on reading comprehension

I want to discover the effect of test-taking strategies on a reading comprehension test which includes 5 passages 10 items each. The test-taking strategy questionnaire, I want to use, is composed of ...
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1answer
33 views

How to interpret the fit of cfa (sem) outcome?

I did some CFA analyses (using R package Lavaan) on several scales in order to check the unidimensionalities. If I understood well scale 5, 6 and 7 can be considered a good fit because of the RMSEA ...
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31 views

Can I merge independent samples collected by the same survey?

I have 3 independent data sets collected from the same population using an identical survey design. They are about consumer attitudes toward foreign products, so, 3 countries of origin were used but ...
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1answer
36 views

Sample size for SEM with ordinal measures

I'm in the early stages of planning an analysis which would involve a large number of ordinal variables, and I'm trying to work out if I have enough observations in my sample. The ordinal variables ...
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21 views

Repeated measures with binary data

I've deigned an experiment in which participants read 24 narratives and guess if they are written by men or women and rate their own confidence. I thus have 24 binary repeated measures. I have the ...
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help me choose statistical analysis for my undergrad thesis [closed]

firstly, i'm sorry if i'm not very good in statistics, i just need to finish my undergraduate thesis, but my professor is very busy, that he always don't have time for me to consult my research. so ...
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68 views

How robust is the maximum likelihood estimator in structural equation modelling to non-multivariate normality?

In a Structural Equation Model, one often uses the ML estimator. In the case where the variables are not multivariate normal, can ML be used? Often times the indicators you have available to work ...
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1answer
53 views

Identification of Bayesian models

In frequentist estimation, a large degree of emphasis in SEM/CFA modeling is placed on whether the model is identified, that is, whether each parameter can be uniquely estimated from the data. The ...
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50 views

Good Multivariate normality coefficient but suspicious univariate indices in AMOS, what to do?

We are conducting a research with 15 observed variables. Before starting a SEM model based on our data-set (of 531 cases), we tried to check for uni-variate & multivariate normality problems. The ...
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14 views

Does structural equation modeling solve random X variable bias?

I am trying to figure out whether the slope estimates from structural equation models (SEM) are biased if you have random independent (or X) variables. For example, I am interested in how temperature ...
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1answer
39 views

The results of EFA are different from those of theory, how to conduct CFA?

I have a dependent construct (attitude) which has at least 2 dimensions in theory (affective & behavioral). The scale measure adopted for this research is found to have 2 or 3 dimensions in ...
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1answer
65 views

Import external correlation matrix and sample size to run (MA)SEM in Stata

I want to run a meta-analytic structural equation model (MASEM) in Stata. I already have the meta-analytic mean correlation matrix and the sample size for each correlation. Now I want to import this ...
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1answer
42 views

What is the difference between formative and reflective measurement models?

Can anyone provide examples as to why choose one over the other? Are they calculated diferently?
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1answer
32 views

amos: zero chi-quare and zero df confusion

I have five concepts in a theoretical model (animosity, ethnocentrism, religiosity, patriotism, satisfaction). The EFA result shows that there is only one actor for each construct: f1 (animosity) ...
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1answer
19 views

does it make sense to test second order factor model in sem even some first order factors are related to each other adversely

I have try to conduct a second order factor consisting of five first order factors. However, some of the first order factors are related to each other negatively, while others are related to each ...
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16 views

How to test the GOF of the measurement model in AMOS? [duplicate]

When I searched a lot of online thesis in which the authors adopted the SEM, I found two main currents. Let's assume that we have a model with three variables (quality, price & satisfaction) where ...
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46 views

How to implement a linear and a logistic regression in a single SEM model using R?

I created a SEM model in R (lavaan package), but one of my dependent variables is continuous, while the other is binary. The model is as follows: ...
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82 views

Comparing AIC/BIC Between Continuous (CFA) and Categorical (LCA) Latent Models

Some colleagues and I have a set of variables that we would like to represent more parsimoniously/latently. Originally, my colleagues used an exploratory and confirmatory factor-analysis approach to ...
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95 views

Implementing Factor Structure Model

I'm trying to implement the factor structure model using Gauss Quadrature or MCMC method as done by many in their research work. The model is to find the effect of latent factors on response variable ...
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1answer
45 views

Can SEM distinguish between the following models?

Suppose I have 3 manifest variables, x, y and z. I would like to use path analysis to determine the direction of influence. Is there a test that lets me distinguish between the following models? ...
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16 views

CFA model with systematic temporal correlation between measures

I'm looking to fit CFA models to data in the case where measures have systematic temporal correlations between them. I'm familiar with autoregressive approaches, such as those described on Dave ...
3
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1answer
44 views

Why is over identified models preferred over just identified models in Structural Equation Modeling?

It's often stated that for analysis using an SEM technique, it is preferred to use an overidentified model compared to a just identified model. Why is that so ? My intuition says that for an over ...
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1answer
32 views

Mathematics behind factor loading in Confirmatory factor analysis/ Structural Equation Modeling

I'm curious about how are the loading in a simple confirmatory factor analysis determined mathematically. Also, the intuition is also hazy to me as to how are the factor loads determined when a ...
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1answer
28 views

SEM/Bayesnets: does creating a latent variable always reduce the fit?

assume there are 3 variables (x1, x2, x3) that each correlate tightly with each other, and also correlate tightly with y. if we add a latent/hidden variable that merges information from x1, x2 and x3 ...
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10 views

what techniques can be used to model the covariance matrix?

I have a covariance matrix with n variables. I am interested in learning how these variables may interact. For example some questions I am interested in are: causality: which variables in yi..k ...
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1answer
23 views

Exploratory Factor Analysis will not converge

I'm new to SEM, so I wanted to learn how to do an exploratory factor analysis before moving on to SEM. I am trying to model metabolic data ...
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10 views

Alternative form of LIML

Setup Suppose we have a standard SEM setup $$ y=Y\beta_1+Z\beta_2+u,\quad Y=W\Pi+V $$ where $W$ includes $Z$ among its columns. The LIML estimator of $\beta=(\beta_1,\beta_2)'$ is (below $X=[Y ...
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52 views

how to deal with skewed data in structural equation modeling?

I'm trying to do some simple factor analysis in Lavaan, using 2 factors to explore the relationships between a few variables. However, each time I try to fit the model, it fails to converge. Upon ...
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35 views

Showing the equivalence of linear regression and structural equation modeling

I want to show the equivalence of linear regression and structural equation modeling (i.e., SEM) using questionnaire items, rather than total scores. As another post describes (Regression in SEM ...
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25 views

CFA Multitrait Multimethod in R?

Perhaps I am just searching the wrong way, but I am having a tough time trying to find out if there is already an R package that allows users to estimate multitrait multimethod structural equation ...