# Tagged Questions

Factor analysis is a dimensionality reduction latent variable technique which replaces inter-correlating variables by a smaller number of continuous latent variables called factors. The factors are believed to be responsible for the inter-correlations. [For confirmatory factor analysis, please use ...

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### Step by step guide for GRS test in R? [on hold]

I'm new to R. I have basic knowledge in R. I'm testing a factor model. I have to use GRS test. But not sure how to do it. Please help me. I have found this recipe for GRS online. http://faculty....
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### How to obtain statistical information from a Likert scale with a sample size smaller than the number of questions?

Research and sample properties I'm measuring the degree of a certain concept related to marketing and sustainable development throughout an entire industry. The theoretical model is depicted next: ...
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### Statistical methods to group similar variables

I work with a data set of 50 variables which measure the performance of hockey players (e.g. number of duels lost, goals scored etc.). I deal only with count data - positive integers which are not ...
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### shall I remove an item based on cronbach's alpha if item deleted

In my EFA analysis with 127 items, I got 8 factors including 56 items. There is one factor which has 4 items with loadings like 0.914, 0.966, 0.844, 0.567. The 4th item seems weak in this factor. ...
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### cluster analysis after factor analysis: do I need to use all factors for cluster analysis?

I have a 127-question survey with 6-level likert type answers. With EFA I have kept 56 items and got 8 factors. With CFA (on sample not used in EFA) I confirmed these factors. so far all good. When I ...
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### converting annual series into quarterly series using MARSS?

I am trying to generate quarterly values for a series which is available in annual frequency using two other series using MARSS package in R. ...
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I have performed a PCA with some data sets. Prior to performing PCA, I tested the applicability of PCA with KMO and Bartlett's Sphericity tests. I got some critics stating that I have to add "my ...
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+50

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### to constrain a parameter estimate to obtain unique estimates in R LAVAAN for CFA

I need urgent help, I need the script or command to constrain a parameter estimate to obtain unique estimates in R LAVAAN for CFA. Like If Social Influence got 4 items in a model and I want to put a ...
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### Factor Analysis with low sample size

Does anyone know of references to support conducting EFA with a low sample size?
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### Why do the loadings returned by psych::principal() in R change with the number of components?

I have been using the principal() function of the psych package in R and setting the number of components after a scree plot analysis (...
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### Analytic Hierarchy Process (AHP) - factor weight score

As title mentioned, how to determine the 'scale of relative importance' point for factor weight score? Besides, I have read some example of ahp saying there are 1-9 point, 1-5 point (1,2,3,4,5) and ...
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### “*usefulness*” is a bivariate property used in Regression and Anova. Has a generalization (trivariate) analogon been discussed?

Just for selfstudy/exercising of algorithms I looked at the computation of the "usefulness"-measure in multiple regression, which means the part of variance which one independent item contributes to ...
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### exploratory factor analysis in models with sub constructs

I have a dataset based on model with 3 second-order latent variables (exogenous + mediator + endogenous), each having 2 first-order latents. when running exploratory factor analysis (PCA) with SPSS, ...
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### Cluster analysis vs Factor analysis as a means for “grouping” variables or cases: the differences

I've noticed responses that at face value seem to be in contradiction with each other. For instance, here @peter-flom writes Short answer: Cluster analysis is about grouping subjects (e.g. ...