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

Yes, we offer dimensionality reduction techniques that best suit your research objectives. Three primary methods are available: Exploratory Factor Analysis (EFA) to unveil underlying latent variables without any prior assumptions; Confirmatory Factor Analysis (CFA) for testing theoretical factor structures; and Principal Component Analysis (PCA) for reducing feature dimensions while identifying those components related to respective maximum variances.