Questions tagged [sem]

Structural Equation Modeling is a multivariate technique. 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.

Filter by
Sorted by
Tagged with
0
votes
0answers
6 views

SEM: Difference between standardized and non-standardized p-values?

I'm currently working on regressions of one latent factor on another latent factor with ``lavaan'`. More specifically, I want to examine if depression predicts procrastination behavior. However, I did ...
1
vote
1answer
20 views

Should allowing multiple DVs to covary in SEM influence beta coefficients?

I am running a replication study to test a model with 8 IVs and 3 DVs (all variables are continuous). In the initial study, I had a moderate sample (≈ 200), and thus relied upon multivariate multiple ...
1
vote
1answer
20 views

What is the difference between Factor Analysis and Path Analysis in Structural Equation Modelling?

I am still a beginner in Structural Equation Modelling and I don't have a solid background in Statistics, so I apologize if my question is a bit naïve. What I traditionally do when creating a ...
1
vote
0answers
25 views

How should the Bollen-Stine bootstrap $p$-value be calculated?

Writing about an original test statistic $T_{ML}$, Nevitt and Hancock (2001) write on p356 that The bootstrap-adjusted $p$ value is calculated as the proportion of bootstrap model test statistics ...
0
votes
0answers
23 views

SEM for within subject data

My questionnaire is novle,100 listeners listen to 10 sound files and then rate each file on a 12-items likert type scale. So I have 100 participants but 1000 cases. Now my theory is 3 factors can be ...
1
vote
0answers
11 views

Alternatives to SEM/Path analysis with smaller sample size

I have a study design with one between groups independent variable with five levels (different behaviours). I then have a number of latent dependent variables, measured by self-report questionnaires. ...
1
vote
1answer
18 views

In Structural Equation Modelling, what is the difference between Exploratory and Confirmatory Factor Analysis?

I am trying to understand the difference between Exploratory and Confirmatory Factory Analysis. I have usually only done CFAs because I would test existing models. Though I know EFA usually precedes ...
0
votes
0answers
17 views

Which analysis method to choose: two between club variations need to be explained using many other variables? Scheme provided

I am a master student and need help in approaching the following problem. I have a large dataset about athletes from different professional level clubs (athlethes nested in clubs), their performance (...
1
vote
1answer
20 views

Sem with groups

My purpose is to test the same SEM model on two independent groups. However, some of the variables that participate in the model have significantly different values between the two groups (e.g. age is ...
2
votes
1answer
41 views

Multilevel SEM with three or more levels in OpenMx

I am trying to figure out how to conduct analyses using CFA and SEM models with three or more levels. Pritikin et al. (2017) investigates how to conduct a three-level and up to five-level SEM using ...
0
votes
0answers
6 views

How to group and test interaction patterns of variables

IV: 1st Gender of pichtures (male/ female) 2nd Assumed posture (open/closed) DV: couple a variables (power, emapthy etc.) rated on a likert scale In a first pilot study I found evidence for ...
0
votes
0answers
45 views

Creating a composite variable with data that is missing by design

I have a dataset of 20 variables and over 2,000 observations. These variables are paired. A respondent is first asked if they endorse a goal. If they endorse that goal, a follow-up question asks how ...
1
vote
0answers
11 views

Multi-sample structural equation modeling: good practices for invariance tests

I have a question concerning good practices when testing invariance in multi-sample structural equation models. I am currently working with a questionnaire which has been administered to three ...
2
votes
1answer
31 views

Structural equation models without circular definition of latent variables

I'm trying to perform Bayesian structural equation modeling in Python and PyMC3, but I think the problem is similar for most probabilistic progamming languages, include JAGS, Stan, etc. SEMs are ...
1
vote
1answer
23 views

How to interpret coefficients of a cross-lagged panel analysis

I'm trying to understand the coefficients of this cross-lagged panel analysis. Are they correlation coefficients? are they regression coefficients? I'm not sure how can I interpret them if I have no ...
1
vote
0answers
27 views

Controlling variance manually for a latent factor w/ only one manifest indicator using lavaan in R

Using lavaan in R, I'm trying to reproduce a CFA/SEM model from a publication (cf. Figure 1 of https://onlinelibrary.wiley.com/doi/pdf/10.1111/desc.12202). Below is the correlation table and std. dev....
1
vote
1answer
46 views

Can't compute standard errors: the information matrix could not be inverted

I am trying to compute a Structural equation model. I have identified one model, in which I have included all the subscales simultaneously. However, when I try to look at the subscales separately, I ...
2
votes
0answers
22 views

Are there any theory and tutorial on Diagonally weighted least squares?

I'm interested in learning about the Diagonally Weighted Least Squares (DWLS) method for confirmatory factor analysis (CFA). I'm using lavaan package in R. I ...
0
votes
1answer
11 views

Change from listwise to pairwise deletion changes impact of the one variable with missings in otherwise unchanged SEM model - why?

I am puzzled and very much hope that somebody here can help me. I calculated a SEM model in which teenagers' grades were modelled as one predictor (among several) for receiving a recommendation for a ...
0
votes
0answers
11 views

Multilevel linear modeling, multilevel SEM, and output for documentation using julia

How can hierarchical models such as hierarchical linear models (HLM), hierarchical generalized linear models (HGLM), structural equation modeling (SEM) and multilevel SEM be conducted in julia? I.e. ...
1
vote
0answers
10 views

Will simultaneity bias occur if I use VAR to test the linkages between monetary shocks, interest rates, and inflation?

I am writing an undergraduate paper and my goal is to investigate the liquidity effect. That is, I want to determine if expansions in monetary policy reduce interest rates. Initially, I wanted to ...
0
votes
0answers
29 views

How to Correctly interpret SEM results?

Please don't judge me for asking this question, I am still learning statistics and come from a non-mathematical background... I created a Conceptual Model using lavaan in R and got the following ...
0
votes
0answers
14 views
0
votes
0answers
15 views

Adjust a moderated moderated mediation model with processR package

I have this follow diagram: I tried moderated W (Innovativeness) with Z (...
0
votes
1answer
45 views

Item response theory (IRT) for continuous responses

I hope this message finds everyone safe and well. I want to estimate the Rasch item difficulty parameters for my test items (dataset below). However, I have two challenges: (1) Item scores are ...
0
votes
0answers
14 views

Can we do SEM incase we dont have any data for dependent variable?

I need to study the impact of various factors on gender sensitisation. The research instrument was created and factor analysis was done using EFA. Now further structural equation modelling has to be ...
0
votes
0answers
18 views

Can I use Binary Logistic Regression (odds ratio) in longitudinal studies for the tracking (stability) analysis?

Can I use Binary Logistic Regression (odds ratio) in longitudinal studies to check the tracking (stability) of a variable? Is there any advantage to using Generalized Estimating Equations (GEE) or ...
0
votes
0answers
11 views

Can a latent variable be depdendent on another latent variables in Structural Equation Modelling?

I am not an expert in research and statistics, but I am reading several research papers and I see that researchers, when using Structural Equation Modelling, use latent variables that are dependent on ...
0
votes
0answers
15 views

Doing SEM with components derived from PCA/FA

My objective is to see the mediating role of confidence in the link between socialisation and mental health. All these three variables are latent and to be measured in terms of several indicator ...
0
votes
0answers
9 views

Latent variable with negatively correlated indicators

My purpose is to test the (reasonable under a certain theory) hypothesis that a latent variable (CTR) is reflected on eight indicators as shown in the next image: The model is ...
1
vote
1answer
38 views

Should I include latent construct for total score in CFA?

I need to validate factor structure for existing questionnaire that was translated to another language. Items of the questionnaire are organized into 3 subscales, say D1, D2 and D3. Total score, D, ...
0
votes
0answers
7 views

Explaining Experimental data with EUT or PT: Using Structural Equation modeling or Fixed Mixture model?

I will try to be as clear as possible. Some background: I am doing experiments in economics and I have a huge dataset of experiments mirroring real life tax declaration. Participants in the lab ...
1
vote
1answer
37 views

Multi-group SEM analysis - regression paths

I am using SEM to model the intergenerational social class mobility with education as a mediator for father class. However, I also have a latent variable - ability - which is then also having a direct ...
0
votes
1answer
23 views

What is the next step after doing factor loadings in Structural Equation Modelling in Lavaan R? [closed]

I ran a CFA model. From the research papers I've read, I realized I need to calculate t-values and find a "critical t-value". However, I don't know how to do that and in the summary table I only have ...
0
votes
0answers
7 views

Can reliability and validity assessments be considered as required constituent of the “Measurement part” in Structural Equation Modeling?

I wonder if any type of reliability and / or validity analysis can be considered as an element of the Measurement part in SEM. For example, when computing Cronbach's alpha or the AVEs of an instrument,...
1
vote
1answer
81 views

Can a construct be both endogenous and exogenous at the same time?

Consider the planned behavior model: Can the "intention" construct be considered endogenous and exogenous simultaneously? Why?
0
votes
1answer
11 views

Group based SEM has different implications when run individally

I have a model that has data from two different groups. As per the suggestion from Beaujean (2014) I run measurementInvariance and find that even the strong fit has good fit indices. ...
1
vote
1answer
41 views

Residuals and Homoscedascity in SEM with lavaan

I intend on investigating longitudinal effects through a cross-lagged panel design, facilitating the lavaan package in R. Currently, I have set up a simple Model given the scheme and code below, in ...
0
votes
0answers
27 views

Structural Equation Model (SEM) - interaction of one latent and two exogenous variables

Thanks for your help in adavance. Sorry, I could not really find anything substantial for the following two issues. The model: We have two exogenous (observed/non-latent) variables: A and B. These ...
1
vote
1answer
11 views

What are the implications of estimating the means of latent variables?

I'm running an SEM model (a latent curve model with structured residuals) to estimate the relationship between repeated measurements of two variables. Four of my latent variables each predict several ...
0
votes
0answers
25 views

Multicollinearity in structural equation modeling with multiple imputation?

Using R, I created a structural equation model and fit it to multiple datasets using the 'sem.mi()' function from the SemTools package. I know multicollinearity tends to be a concern for structural ...
0
votes
0answers
10 views

latent variable modelling in longitudinal studies

I'm working on a project of longitudinal data analysis. And I want to use latent variable modelling to unite multiple longitudinal measurements. For example, consider a cancer clinical trial, every ...
2
votes
0answers
16 views

SEM: Why is there no dependable connection between the size of SEM residuals and the type or degree of model misspecification?

Kline (2016) p. 278 writes [Y]ou should know that there is actually no dependable or trustworthy connection between the size of the residuals and the type or degree of model misspecification. For ...
0
votes
0answers
16 views

Difficulty obtaining fit for piecewise SEM (structural equation models)

I have been trying to run Piecewise Structural Equation models on my community mesocosm experiment. I am using piecewiseSEM package, along with the packages lme4 and nlme. I have tried two different ...
1
vote
1answer
49 views

Reliability in R

I'm having trouble understanding the difference between omega 1 and omega 3 in reliability function in the semTools package in <...
4
votes
1answer
70 views

How to account for multiple raters in an exploratory factor analysis?

I have a dataset on which I want to perform an exploratory factor analysis. There are ~150 subjects that are rated by ~25 raters on ~70 items (the items are about certain behaviors of the subjects). ...
1
vote
0answers
21 views

How can I model non-normal latent factors in a factor analysis or SEM?

We are running a confirmatory factor analysis (covariance-based SEM form) with three latent variables for around 900 companies. The input is around 20 variables: 5-6 are perfectly normally distributed ...
1
vote
2answers
20 views

Can latent class analysis be used for path analysis?

I have been experimenting with latent class analysis (LCA), which I've recently learned is a form of structural equation modeling (SEM). I know some forms of SEM, I know path analysis can be done ...
1
vote
1answer
48 views

SEM/MIMIC Model Using Covariates

I'm currently struggling with structural equation modeling. I have a model with three factors and would like to explore the impact of subject's sex and age on them. How should I do it and – more ...
1
vote
1answer
47 views

Estimate for structural equation model

I tried to find the estimate for SEM using R and Stata but I found that both estimates are different. ...

1
2 3 4 5
15