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 test and describe the underlying structure of psychological scales and other social science measurements.
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measurement invariance with theta and lisrel parameterization
I’m trying to test a model of threshold invariance for ordinal indicators across 6 time points using semTools::measEq.syntax() with
parameterization = "theta",
ID.cat = "...
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Dataset for CFA and EFA
I first performed an Exploratory Factor Analysis (EFA) to identify the number of factors and the pattern of loadings. Then, using the same dataset (5165 observations), I conducted a Confirmatory ...
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Clarification on parameterizations in lavaan for measurement invariance
I’m using lavaan in R to test measurement invariance of a factor model. I’ve seen that lavaan allows different parameterizations ("standard" and "theta" via the parameterization ...
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Testing Differential Prediction from Self-Descriptive vs. Observer-Based Latent Variables
I have two sets of latent variables. Each set contains four variables. The first set consists of self-descriptive variables, while the second set consists of the same variables, but based on data ...
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Imputation of Data for CFA
I have a dataset with some latent variables, and my main one happens to have 9 dichotomous items.
I did little MCAR's test which resulted in a very low p-value, so I should conduct imputation before ...
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cross-lagged panel model (lavaan)
I am modelling the longitudinal relationships between three observed variables:
behavior (binary: 0/1)
affect (continuous)
wellbeing (5-point Likert scale)
The baseline year is 2008, and I have ...
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Latent change score model with partial scalar invariance
I am investigating change in a latent factor measured by 3 ordinal items (each having three response categories) at three successive timepoints. I have determined that I have partial scalar invariance ...
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Clarification on Δχ² interpretation for metric invariance with WLSMV and Svetina et al. (2019)
I'm performing measurement invariance testing across six groups using lavaan with categorical data (4-point Likert), the WLSMV estimator, and the delta parameterization with Wu & Estabrook (2016) ...
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CFA multiple multi-item scales
In my survey, I measured two variables:
Dependent variable: 1 factor of a construct consisting of 4 factors (measured by 4 items each); all factors were measured to maybe conduct additional analyses ...
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Multilevel CFA -> EFA?
Hi I’m really new to factor analysis and still learning, apologies if this is a basic question.
I ran a multilevel EFA in Mplus on around 50 variables. The EFA results suggested a decent 5- or 6-...
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How common (or advisable) is it to constrain factor loadings to be non-negative in CFA
I've been thinking about the practice of imposing lower bounds (e.g., setting a minimum of 0) on factor loadings $\lambda$ in confirmatory factor analysis and structural equation modeling. It seems ...
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Scalar Invariance Testing Accounting for Age Effects in lavaan
I am using a longitudinal CFA in R using the lavaan package to model a latent construct (small vessel disease - SVD) that is measured by 3 MRI indicators. My initial goal is to test the measurement ...
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Structural Equation Modeling with categorical variables (nominal/ordinal)
How can an SEM model be fitted when the dataset includes both continuous and categorical variables?
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