broadly speaking, factors that affect participation of people in community organisations could be social, political, economical or organisational. what would be the appropriate model to determine these factors including the methodologies.
Based on your question, let us come in by bearing in mind the kinds of analysis that need to be run viz: univariate, bivariate and multivariate levels of analysis. We need to consider the independent variables(social,political,economic or organizational), the mediating variable(s) as well as the dependent variable(participation). I can share the details with you. Mail me:
You can use confirmatory factor analysis (CFA) if you assume that there are latent (not observed) factors which determine observable (measured) variables. A CFA is a particular case of Structural Equation Modeling. The idea is to make hypotheses about different latent factors affecting several (imperfect) measures of people's participation, to estimate a model fitting covariances of observed data, and to test it against alternative hypotheses. The formulation of a hypothesis (number of factors and their relationship with the observed variables) should be guided by theory or by a conceptual framework.