Can you conduct factor analysis or PCA on my survey data?

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Statistical Analysis

Q: Can you conduct factor analysis or PCA on my survey data?

Bibliography and Appendices
We will be able to assist you with the choice of dimensionality reduction techniques that best suit your research objectives:
  • Exploratory Factor Analysis (EFA): To unveil underlying latent variables without any prior assumptions.
  • Confirmatory Factor Analysis (CFA): To test hypothesized factor structures grounded in theory.
  • Principal Component Analysis (PCA): It is a method applied to decreasing the dimensions of a feature of nD dimensions, seeking to identify those components related to respective maximum variances.
 

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