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.

Filter by
Sorted by
Tagged with
0
votes
0answers
3 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 ...
0
votes
0answers
8 views

How can I reproduce this Stata comand in R? confa / cfa [closed]

I need to reproduce this Stata command in R. But I don't understand so much about confa and don't know stata at all. ...
0
votes
1answer
12 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 ...
1
vote
1answer
11 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 ...
0
votes
0answers
25 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 ...
0
votes
0answers
13 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 ...
1
vote
1answer
14 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 ...
1
vote
0answers
47 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)...
1
vote
0answers
18 views

CFA, 1 latent variable, 3 observed, saturated, how to continue?

For a survey on work satisfaction and health containing multiple constructs (for stress, intrinsic motivation, anxiety, quality of life), I need to confirm the unidimensionality of each construct. ...
1
vote
1answer
60 views

SEM Instead of MANOVA

I do not have sufficient reputation to comment on a question, so I hope this post is acceptable. Regarding the accepted answer to this question: How to do Simple Confirmatory Factory Analysis/SEM in R?...
1
vote
0answers
38 views

How to interpret standardized coefficients for latent variable in CFA?

I am fitting a CFA model with the following syntax from lavaan package: ...
0
votes
0answers
7 views

If I have a second order model that runs great, do I need to run first order model to evaluated if I can use the small constructs?

I have already posted this question on https://groups.google.com/g/lavaan/c/CZAyEDBNUwk . However, as this is more theoretical, I think that more people will be happy to help here. I have a survey ...
1
vote
0answers
40 views

Lavaan CFA with lots of cross-loadings solution not found

I am having some trouble getting my CFA to converge. There are lots of cross loadings and one factor with two indicators, both of which I think may be contributing to the error. Here is a reproducible ...
1
vote
0answers
20 views

What are the solutions for small sample in SEM?

is bootstrap a solution? I use Lisrel 8.8 (the student version) and bootstrap actually does not work in it. Bootstrap S has N/A values.
0
votes
0answers
18 views

How to calculate convergent and discriminant validity in SEM?

Using the average variance extract (AVE), the method is explained easily by doing some calculations on the factor loadings. I only found such procedure on CFA models, where we don't have an endogenous ...
0
votes
0answers
21 views

Comparing the means of latent variables in a CFA model measured at two different times in R

I have a CFA model with 7 latent variables and about 4 items per construct, I'm using R with lavaan for the CFA, $N\approx 3500$. My model looks like this: ...
0
votes
0answers
32 views

Unrefined scores for confirmatory factor analysis

I have read the paper entitled "Understanding and Using Factor Scores: Considerations for the Applied Researcher" by C. Distefano, M. Zhu, Diana Mîndrilă (2009), Practical Assessment, ...
1
vote
0answers
19 views

How to find degree of freedom in SEM-CFA model? [Inquiring Clarification]

I found a link that explains it. http://reifman-sem.blogspot.com/2007/04/some-of-students-wanted-review-of.html It is $$Degree \;of\;Freedom (DF) = Total \;Elements - Total \;Free \;Parameters$$ [...
0
votes
1answer
93 views

How to interpret the negative variances

I had used the already published Likert scale for the survey. And the responses to the survey from 98 participants were collected. The survey likert scale was from <...
0
votes
0answers
10 views

Evaluating discriminant validity of a 2nd order reflective construct?

I am currently assessing my measurement model which includes-besides other constructs-a 2nd order reflective construct (consists of four 1st order constructs that are also reflective). I noticed that ...
3
votes
1answer
26 views

Standard errors and p-values in exploratory factor analysis

I was wondering why there are no standard errors and p-values reported for the factor loadings in the exploratory factor analysis, instead the magnitude of the factor loadings are used to judge the ...
2
votes
1answer
43 views

Can you do confirmatory factor analysis on items with different response scale

Can one do a confirmatory factor analysis with items on different response scales. let's say 50 items have a likert response scale from 1 to 4, and the second group of items have a likert response ...
2
votes
0answers
46 views

How to calculate confirmatory factor analysis by hand?

I am trying to learn how confirmatory factor analysis works and the way I learn is best by understanding how the calculations work by hand using a pen, paper, and a calculator, and then replicate this ...
0
votes
1answer
27 views

Factor loading calculated by factor_analyzer smaller than -1

I used factor_analyzer Python package for CFA, but matrix of factor loadings that I got contains value smaller than -1. Is a bug in the package, or maybe I ...
1
vote
1answer
88 views

CFA: should I remove highly correlated items?

I want to Run CFA model (N=400), but I have a question about the correlation between items. I know I should have high correlation between items that make up one factor (cor>.3). I have two factors ...
0
votes
0answers
22 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 ...
0
votes
0answers
19 views

What steps in data cleaning process I need to do before the CFA?

I wonder if you can help me find any sources of literature that describes what steps needs to be done to clean up the data before CFA? I have done the following steps: convert Likert type scale to ...
1
vote
0answers
14 views

Longitudinal CFA How to build configural model?

I have 12 survey questions (Qs) that were asked during pre- and post-term survey. So I want to do the longitudinal CFA to see whether there was a difference between factor models for pre/post-term ...
1
vote
1answer
21 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
107 views

Difference between CFA using WLSMV estimator and IRT

I am trying to understand the differences (or similarities) between conducting CFA on categorical data using the WLSMV estimator in SEM and item response theory analysis. I would appreciate any input. ...
2
votes
1answer
147 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
9 views

How should low factor loadings affect interpretation of the factor's correlation with another variable?

In a research project I am working on for university, I used 18 items to measure 4 variables. This measurement instrument has been validated in previous literature. I ran a factor analysis with 4 ...
0
votes
0answers
20 views

CFA Model Saturated, fit perfect

I am running a CFA with three items and one latent factor. My sample size is 900. Each item loads onto the factor between .64 and .89. Why is it saying fit is perfect? I have tried in both STATA and ...
0
votes
1answer
44 views

Dealing with reversed items that are causing poor CFA fit model: residuals-related problem

I am running a CFA model (N=500) with a total of 5 factors: 3 of them include reverse items. I first run a reliability test psych::alpha(df_cronbach) which showed ...
1
vote
0answers
56 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....
2
votes
1answer
156 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 found ...
0
votes
0answers
82 views

Have the predicted factor scores in Lavaan been standardized? How can we transform them to the raw predicted values for latent variables?

My structural equation model built up in R could be shown as below, using Library Lavaan: ...
0
votes
0answers
12 views

Choosing a solution from Exploratory Factor Analysis

I have a survey with 337 responses to 31 questions (variables). All questions are on the 7 point Likert scale and I am trying to do a factor analysis. First I tried doing Confirmatory Factor Analysis ...
0
votes
0answers
16 views

How to analyse Likert Scale with multiple product evaluations?

I'm getting lost on how to analyze my data. I've looked through many of the Likert data threads but couldn't find answer to my specific problem. So I'm desperately asking for help here. The objective ...
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 ...
1
vote
1answer
41 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, ...
1
vote
0answers
42 views

Interpretation of a negativ epc (Modification Indices with lavaan)

I developed a new survey (10 Items) and run a cfa with lavaan, but the fit isn't that good. To decide which Items I should delete or which error variances I should correlate, I looked at the ...
0
votes
0answers
17 views

Using CFA to assess dimensionality: to cut sample or to use full sample?

For my undergrad dissertation I'm assessing the unidimensionality of a 75-item questionnaire using PCA and CFA (because a secondary analysis requires this). The total sample is 1040 participants, ...
0
votes
0answers
11 views

Testing the fit of a 25-item one-factor model using CFA

I'd like to test the fit of a 14-item unidimensional model using CFA. This model was formed in a previous paper that did an EFA of an originally 75-item question (thereby reducing the questions down). ...
2
votes
1answer
28 views

Poor models from PCA and CFA

For my undergraduate dissertation I'm analysing a 75-item self-report questionnaire filled out by 1140 autistic participants (randomly split into two groups. I have split the sample and am carrying ...
0
votes
0answers
7 views

Match sample to equal men and women in factor analysis?

I have a sample of 1567 autistic participants (m = 925, f = 642) who all completed a 75 question questionnaire measuring 'Systemising' or the drive to understand systems/patterns. For my ...
0
votes
1answer
65 views

principal components analysis versus confirmatory factor analysis

I need help answering questions for my advanced statistics course. Any direction on how to answer them or references which could help would be great! What are the primary differences in using PCA and ...
0
votes
0answers
13 views

Family members in factor analysis

I'm carrying out an exploratory PCA, followed by an CFA, to test for dimensionality of a questionnaire. I am wondering about the effect of having family members in the same sample. I have a final ...
1
vote
0answers
26 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
1answer
67 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
2 3 4 5
7