Questions tagged [confirmatory-factor]

Confirmatory Factor Analysis (CFA) is a set of multivariate techniques aimed at validating the relations between the observed variables, or indicators, and underlying latent variables, or factors, and is typically used to describe the underlying structure of psychological scales and other social science measurements.

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14 views

Why set factor means to 0? Monte Carlo simulation

I am using structural equation modeling (SEM). My model is a simple mediation model with latent variables (each latent variable has 3 indicators). I want to run a Monte Carlo simulation to estimate if ...
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Factor with one item [closed]

I'm preparing a questionnaire consisting of some independent variables predicting my dependent variable. One of my factors is "political interest" and it asks users how much they are ...
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1answer
41 views

CFA model interpretation

I received the following CFA model output. I wonder if anyone can help me understand how to interpret values on each path. For example, in factor 3, what does 1, 0.535, and p-value mean? I know that ...
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17 views

Differences in Model Fit Evaluation Between Exploratory Factor Analysis and Confirmatory Factor Analysis

For the same dataset, I tried both exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). For evaluating EFA model, the cumulative explanation of all latent factors adds up to ...
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2answers
40 views

CFA in lavaan won't converge

I am attempting to run a CFA in lavaan but the model will not converge unless std.lv = TRUE. This is causing me concern, and I would like some help understanding ...
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9 views

Confirmatory Factor Analysis factor loading cut off threshold

To conduct Confirmatory Factor Analysis (CFA), what is the usual cut off threshold for items' factor loading on their factors? I have found justifications for a more conventional .40 or a more ...
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1answer
14 views

Multi-group CFA in Mplus with Missing Indicator

I am conducting SEM analysis in Mplus where I have one latent factor with four items. I am trying to conduct a multigroup analysis(3 groups) to evaluate moderation from the latent factor to an ...
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8 views

EFA and CFA with a lot of non-random "missing data"

This may be silly question, but I am only newly learning factor analysis. I am working on a project on social media. One of the problems is of the following form: We have circulated a form about ...
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13 views

Exploratory factor analysis based on separated constructs before CB-SEM?

I've seen a paper where the researcher developed a modified version of the UTAUT2 theoretical model. This modification means that 5 new constructs have been added (from the literature), so the model ...
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33 views

Factor Analysis and index creation

I am aiming to create an index and I have 4 individual variables that I want to put in one component. I would use this index as an explanatory variable in multiple regression analysis later on. ...
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1answer
31 views

Non-significant variance of latent variable when model fit is acceptable

I am running a confirmatory factor analysis with lavaan. I don't have any experiences with CFA, so I have one question regarding the output. My chi-square value is non-significant and all of the fit-...
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1answer
22 views

Confirmatory Factor Analysis : validity for a just-identified model

I have developed a 3-item questionnaire, and I would like to test the validity of this questionnaire. I wanted to test the validity using confirmatory factor analysis, but since my model is just-...
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26 views

Variable Transformations in Confirmatory Factor Analysis

I plan to implement CFA on a dataset, with 6 independent variables and 1 dependent variable. My independent variables are demographics that include 1 continuous variable (e.g., age 18 years old, 60 ...
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1answer
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Can confirmatory factor analysis be used to test the components form a principal components analysis?

I have completed a PCA on a data set in study 1 (using the principal function in the psych package in R) and now I am wondering ...
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70 views

Calculating convergent and discriminant validity using R, via CFA

I've been trying to calculate convergent and discriminant validity using R, through CFA in lavaan package. I'm trying to use the ...
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0answers
23 views

lavaan factor scores to feed other models

Let's suppose I have an outcome variable that is not continuous. For example, it could be an ordered categorical variable or a nominal (unordered) categorical variable. This implies that I would need ...
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20 views

Lavaan issue with confirmatory factor analysis

I tried a simple two-factor CFA with lavaan package in R. However, I never got it running... My codes are: ...
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CFA (Lavaan in R) using different ordinal scales possible? Including of a nominal variable possible?

I developed a new scale with questions on a VAS (1-10) and a 5-point Linkert scale (I also included one nominal question). The scale is made in a way, that each participant answers the same question ...
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24 views

Factor Analysis on binary data (dimensionality check before IRT) [duplicate]

I'm trying to do a factorial analysis of binary data (hit / miss) related to the results of a test that consisted of two types of items. My intention is to confirm the number of dimensions to later ...
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24 views

Interactions or multigroup SEM?

Let's suppose I have model with three latent variables (L1, L2, L3). These three latent variables are included as regressors in a path explaining Y (a measured variable), so the equation would be: Y =~...
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1answer
9 views

Do I put all items together for a factor analysis?

I have 3 items measuring risk-perception and 5 items measuring willingness to comply and I want to run a Factor Analysis. Do I put all 8 items together for a factor analysis, or do I run two separate ...
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10 views

Are these good or bad fit indices for CFA?

I have run an EFA which generated two factors. Then I ran CFA. I got the following results: ChiSq P-value = .000; RMSEA = .083; GFI = .83; AGFI = .80; CFI = .92; TLI = .91; NFI = .89; ChiSq/df = 3.13 ...
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CFA: Fixing the loading of the observed variables on the error factors to one vs. fixing the variance of the error terms to one

In most (all?) structural equation modelling software the default to scaling the error variables is to fix the loadings of the observed variables on the error variables to unity and freely estimate ...
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1answer
27 views

lavaan's estimated residuals output different than manually estimated residuals

I am using lavaan and wanted to check my residuals for my model. I use lavaan's residuals() or lavResiduals() function, but I also decided to do it myself manually by computing the difference between ...
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1answer
105 views

Interpretation of FIT indices for cfa

I am running a confirmatory factor analysis on a very simple model. It is intended to confirm the structure of a brief rating scale for the evaluation of one social emotional domain. As usual, I split ...
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0answers
22 views

Valid 2nd order SEM with multiple dependent variables

I'm working on an SEM problem, and I could use some second opinions! The diagram below shows the proposed SEM model, where I have a 4 latent constructs which are estimated themselves from 2 second-...
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21 views

Objective measures in Factor Analysis

I am considering developing a questionnaire (to be validated) whose scales could include both self-reported subjective measures and objective measurements. Does it make sense to use factor analysis to ...
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0answers
21 views

Is it possible to run Confirmatory factor analysis with gsem on STATA with binary outcomes?

So far I have only seen an exmaple that involve counted number as the outcome, which has "poisson" as one of its option. My outcome variables are almost all binary, so I tried with "...
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14 views

Is valid to conduct a CFA if p(CMIN) is significant

I conducted a CFA (confirmatory factor analysis). My values are: ...
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0answers
15 views

What is "addition unique variance" in structural equation modeling?

I am studying confirmatory factor analysis and playing around with $\Omega\text{nyx}$. In the user guide, there is the following sentence: By default, a double-headed loop is created with each ...
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52 views

Bifactor model - Factor variances

I am estimating a bifactor model, i.e., a model including a general factor (G) and 4 specific constructs/factors (S1-4), all orthogonal (see below). The fit for the model is surprisingly good (CFI/TLI ...
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13 views

If the factor has only two indicators in CFA, the errors of those two indicators cannot be correlated?

I have heard that if the factor has only two indicators in CFA, the errors of those two indicators cannot be correlated. Is it true? if so, I'm wondering if the issue is due to only identification or ...
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1answer
179 views

What does it mean to indicate correlation in lavaan CFA?

I am an undergraduate psychology student and I've been doing basic statistical analysis for professors, post-grad students, etc for their work. I use R for almost everything I've recently faced myself ...
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0answers
42 views

Q: R, SEM with lavaan, problems specifying correlations between subscales. ERROR: Warning, could not compute standard errors

I am currently working on running a SEM analysis in Lavaan and I am running into a few problems. Before running the full sem, I intended to run a CFA to replicate the psychometric testing done with ...
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28 views

can I test for invariance if the base model has poor fit in CFA?

I am doing confirmatory factor analyses on a number of datasets where I want to confirm both factor structure and measurement invariance across groups, using lavaan in R. If the base model (before ...
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1answer
213 views

How to test a difference between two regression coefficients in SEM (CFA, Lavaan)

I have a simple CFA model, where there are 4 latent factors, each including 4 manifest variables, and there are covariation among all factors. The model is estimated on ~180 individuals. ...
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0answers
21 views

Invariance for CFA in multiple groups over time with lavaan in R

Essentially, I am having trouble testing for invariance for a CFA in multiple groups over time. I am trying to do this with the lavaan package in R. I am following Little (2013) and attempting to do a ...
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27 views

Multi-group CFA analysis - two different outcomes

I have four first-order factors explained by one second-order factor. I am going to test the second-order factor across two different groups, one in Poland (group 1) and one in Spain (group 2). Also, ...
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1answer
70 views

CFA in AMOS vs. R: Different modification indices and standardized errors

I am doing a confirmatory fator analysis and I do obtain different results in SPSS AMOS vs. R/lavaan. All parameter estimates, df and standard errors are the same. Yet, standardized residuals and ...
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0answers
100 views

Bifactor-model in Mplus - warning message: PSI is not positive-definite

This question is about: When does the warning massage appear? I have a rather complicated model in Mplus that consists of three individual models. Each model consists of several manifest variables ...
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0answers
29 views

Defining single indicators for CFA and covariance in Lavaan (R)

I am struggling with performing my very first confirmatory factor analysis (CFA) and structural equation model and I am already stuck. For reference, I am using the Lavaan package in R. I am ...
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0answers
33 views

Correlation Analysis on a MICE Dataset

This question is similar to one that was asked almost 10 years ago but never got answered. I want to perform a CFA on a data set mainly consisting of categorical data. It also contains around 2-3 ...
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0answers
7 views

Exhaustive reading of Factor Analysis [duplicate]

I have learned EFA and CFA in SPSS/ AMOS and a basic understanding of why they work (but in a non-mathematical way, which makes me feel I might have some fundamental misconceptions, and hence this ...
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0answers
24 views

In confirmatory factor analysis, what is the notation for the modification index?

What symbol or abbreviation can we use to refer to the modification index? Say you were writing an article about a CFA that was performed and inside of the article you want to list several ...
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1answer
26 views

Could not compute standard errors in lavaan but why?

I am estimating a two-factor model in lavaan via sem(). I try and estimate this model in two different ways that should be equivalent (unless I am missing something) but one way gives an error ...
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1answer
25 views

Best practice for establishing configural invariance?

I was hoping for some perspectives on the best practices for establishing configural invariance using ordered indicators with WLSMV estimation. I have a 3-factor scale and I am assessing invariance ...
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0answers
27 views

What is the best approach to examine the dimensionality of related behaviours and to develop theory?

I’m preparing a study whose main goal it is to explore whether a set of related behaviours are best conceptualized as one-dimensional or two-dimensional. Traditionally, such questions have been ...
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0answers
37 views

DWLS applicable for 7-Likert scale CFA?

I am writing my undergrad business thesis and I am new to CFA. I did a CFA for 7-Likert Scale Data (Sample Size 210, 8 Factors, 36items) which resulted in poor model fit with the classic MLR estimator ...
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1answer
16 views

Structural equation modeling for habitat suitability

I am new to the concept of SEM. Yet, after reading about SEM it seems quite promising to give me a better understanding about how influential/important a set of measured variables (in respect to each ...
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0answers
280 views

Interpreting Omega coefficients (reliability) from EFA and CFA

I have a dataset with 5 variables and I would like to estimate the reliability of the scale score computed as the linear combination of all items (n = number of items), that is $O = \sum_{i=1}^{n}(X_i)...

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