I have these intensive longitudinal data of n = 300 participants with 55 measurement occasions each. I have 12 emotion items (6 positive and 6 negative, both high and low arousal).
I am interested in emotion differentiation. People that are able to precisely describe and distinguish between different emotional states generally score well on measures of general well-being. I want to examine whether emotion differentiation differs as a function of the situation: specifically the dichotomy of social versus non-social situations.
I wanted to perform a factor analysis with two factors: positive affect and negative affect. Calculate unique loadings per person and use its variance to operationalize emotion differentiation per factor.
1) I would like to know if there is way to run a confirmatory factor analysis, let the factor loadings vary across individuals, and obtain the loadings per individual. I have Mplus and R lavaan installed.
2) I also wonder if the number of occasions is enough (55). Wouldn't I have a lack of power?
I am open to all suggestions!