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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AMOS Software Question: Where to find Changes in CFI, RMSEA, SRMR Indices? [MG-CFA Analysis] [closed]
I am new to AMOS and currently working on a project for questionnaire validation via model fit [MG-CFA Analysis]
I am having issues with finding:
$\Delta$CFI, $\Delta$RMSEA, $\Delta$SRMR Indices for ...
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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 ...
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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:
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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, ...
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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
$$Degree \;of\;Freedom (DF) = Total \;Elements - Total \;Free \;Parameters$$
[...
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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 <...
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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 ...
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1answer
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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 ...
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1answer
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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 ...
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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 ...
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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 ...
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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 ...
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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 ...
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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 ...
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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 ...
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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 ...
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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. ...
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1answer
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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 ...
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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 ...
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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 ...
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1answer
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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 ...
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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....
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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 ...
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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:
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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 ...
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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 ...
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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 ...
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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, ...
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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 ...
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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, ...
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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).
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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 ...
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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 ...
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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 ...
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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 ...
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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 ...
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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 ...
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Is it wrong to discover the factors using EFA and then do CFA for compartive purpose on the same data set?
I have initially done EFA to extract the factors then conducted CFA to confirm those factors and secondly for the comparative purpose. Example factors that were extracted through EFA were further used ...
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Multilevel Confirmatory Factor Analysis in R
In this data set, there are 10 participants. There were 5 conditions and participants were exposed to each condition. After experiencing each condition they then answered 5 questions. They answered ...
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Why can exploratory factor analysis (EFA) suggest a single factor, yet a 1-factor confirmatory factor analysis (CFA) model not fit?
I know I previously saw a thread on this topic, but I cannot locate it. So, please forgive my redundancy.
I have an 8-item questionnaire administered to a (small) sample of 59 patients. The data ...
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Is it possible to use Partial Least Squares-SEM with only one latent variable
I want to compute a Confirmatory Factor Analysis using Partial Least Squares-Structural Equation Modeling. I have only one latent variable and 10 manifest variables....
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AVE and CR in JASP?
I'm new to the software JASP and need some help. Is it possible to calculate average variance extracted (AVE) and composite reliability (CR) in JASP? I need them in order to test validity and ...
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Correlated factors in cfa
I am a running a confirmatory factor analysis in r using the package lavaan. I am trying to measure a latent variable (e.g. time spent in exercise) in young adults and have 2 subjective measures and 3 ...
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Confirmatory factor analysis
I'm currently validating a french translation of a psychological questionnaire.
The original version is subdivided into two subscales. The 27 questions were answered on a Lickert scale (from 1 to 7).
...
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1answer
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Lavaan in R : some estimated lv variances are negative (higher order model)
I'm trying to fit a higher order model with five correlated secondary order factors and 14 primary order factors, but I receive following warning in R using cfa() ...
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Difference in analysis between latent and observed variables in Mplus
I would like to ask what is the difference between the analysis being run on latent and observed variables in a full SEM being run in Mplus. I've been recommended to change the factors within the CFA ...
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Comparing two CFA models in AMOS (only 4 items per 1-2 factors)
I am trying to test in AMOS the discriminant validity of a 3-item measure (items "1, 2 and 3" against a 1-item measure "item Z" (both are Likert scale questionnaire instruments), by comparing whether ...
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Can you do CFA with non-survey data?
I have a dataset with countries as observations and 33 country-level continuous variables.
The information accompanying the dataset groups the 33 variables into 6 different 'categories', however I am ...
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Are these latent variables too highly correlated in this Structural Equation Model?
this is my first SEM I've done so I'm still getting my head around many of the concepts.
So I think I've created a hierarchical model of IQ (generaliq), with the latent variables: verbal_letter, ...
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2answers
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CFA markers and latent variable's variance [closed]
In Confirmatory Factor Analysis (CFA) we set a marker (regression weight = 1) to a randomly or not randomly chosen observed variable. I was wondering under which conditions or in which situation you ...
