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.
425
questions
0
votes
1
answer
16
views
Fixed weights to 1 in confirmatory factor analysis - how significance (p) value is obtained?
I have a question somewhat related to this thread.
I now understand why the value of 1 should be fixed in the confirmatory analysis to one of paths, and I also understand that various tricks can be ...
- 301
0
votes
0
answers
16
views
Lavaan Estimator
I did a three-wave study with repeated measured for each wave.I have two questions:
I am doing a CFA for a configural model (testing temporal invariance for each variable of my model at 3 points in ...
- 1
0
votes
0
answers
14
views
Should I use raw score or z-score for CFA?
I am running confirmatory factor analyses and my variables have different scales. I wonder whether I should use raw score and report factor loadings of std.all ...
- 61
0
votes
0
answers
11
views
How many covariances can we draw between error estimates to modify the hypothesized model of CFA using AMOS?
I ran a confirmatory factor analysis in AMOS and the indices values required for model fit were below the required value so I draw covariance between error terms to modify model. the question I want ...
0
votes
0
answers
40
views
Factor Scores explain less Variance than Item means in a multilevel cfa
I conducted a multilevel confirmatory factor analysis (CFA) in lavaan on repeated measures questionnaire data (satisfaction with travel scale). 42 participants had ...
- 1
1
vote
1
answer
31
views
What does it mean when a CFA model improves drastically by ommiting a factor?
I am trying to fit a CFA model with four factors (say F1 with 4 indicators, F2 with 6 indicators, F3 with 3 indicators and F4 with 5 indicators) in Amos. Each indicator is computed by summation of ...
- 187
4
votes
1
answer
83
views
Why do I get smaller degrees of freedom for the Scalar invariance model than the Metric one while testing measurement invariance?
I am trying to test the measurement invariance in my bi-factor model with CFA tests. I have 23 binary questions coded "correct" and "incorrect" and 3 different groups in my data. ...
0
votes
1
answer
40
views
What problems could arise in factor analysis, if I roll out my survey in small parts and do I have to perform validity theme and subtheme level both
I am currently designing an employee engagement survey, which has 6 themes and 20 sub themes and each sub theme got at least 4-5 questions, so I have two questions.
Can I roll out survey theme wise ...
1
vote
1
answer
152
views
Question- How to read the CFA results using the ordered statement in Lavaan package for ordinal data?
I am using the ordered statement in my CFA model when running lavaan in R, but I couldn't figure out how to read the results. I ...
user19287987
0
votes
1
answer
58
views
Demystifying CFA Models for Longitudinal Analysis of Latent Variables
TLDR; there are 3 approaches I have come across to longitudinal CFA (not SEM) and I am not sure which one is appropriate for simple dimensionality reduction.
I have come across 3 common flavors of CFA ...
3
votes
2
answers
185
views
Item Aggregation Methods in CFA
I've been trying to find any references which have discussed the legitimacy of any item aggregation methods prior to conducting CFA, but I'm coming up short. Here's my context:
Large survey with 6 ...
3
votes
0
answers
60
views
I get very different and inconsistent model fit indices and test statistics every time I run the cfa.mi models with the same imputed categorical data
I am trying to test the measurement invariance in my one-latent-factor model. I have 24 questions coded "correct" and "incorrect" and 3 different groups in my data. The sample ...
1
vote
2
answers
151
views
How to calculate Mardia's multivariate normality in Mplus?
I would like to assess the multivariate normality of the structural equation model (SEM) in Mplus. I have a few questions regarding this matter:
How can I examine multivariate normality, specifically ...
- 141
4
votes
2
answers
121
views
SEM: Normal-theory Maximum Likelihood fitting function
I took a few courses where model estimation via Maximum Likelihood in Structural Equation Modeling was discussed. There was one definition of the normal-theory ML fitting function that I also found in ...
- 163
2
votes
1
answer
55
views
Response style as an alternative explanation for latent mean differences under scalar invariance?
I established scalar measurement invariance for a two-group CFA. The output from my final model showed that the latent mean in group 1 is lower than the latent mean in group 2. Can this difference in ...
- 115