I am analyzing learning outcomes from an educational intervention using analysis of pre/post survey data and conducting factor analysis to reduce the number of dimensions in the analysis. I have been using PCA-based approach in SPSS. I would like to construct scales that combine survey items and reflect latent variables (e.g., content knowledge, affective response, motivation to change behavior based on intervention). In doing so, I would like to use factor analysis and reliability testing to find out which survey items hang together, calculate scales for pre and post survey data separately, determine the post minus pre value in those scales (change as a result of intervention), and use regression and other approaches to analyze the statistical significance and drivers of those changes.
My questions are:
Thanks for any feedback.