This article introduces a bootstrap generalization to the Modified Parallel Analysis (MPA) method of test dimensionality assessment using factor analysis. This methodology, based on the use of Marginal Maximum Likelihood nonlinear factor analysis, provides for the calculation of a test statistic based on a parametric bootstrap using the MPA…

This report for researchers in rural sociology develops a conceptual and analytic framework for evaluating policies or programs through interrelated models. Three models--structural analysis, control programming, and simulation--allow researchers to assess policy/program impact, determine why expected impacts did or did not occur, and modify…

Develops a conceptual and analytic framework for rural sociologists to document program results and consequences and to aid policy and program decisions. Addresses program/policy evaluation from perspectives of structural analysis, control programming, and simulation. Emphasizes dynamic, nonrecursive nature of evaluation processes. (LFL)

This paper illustrates the transformation of a raw data matrix into a matrix of associations, and then into a factor matrix. Factor analysis attempts to distill the most important relationships among a set of variables, thereby permitting some theoretical simplification. In this heuristic data, a correlation matrix was derived to display…

In order to determine the effectiveness of multidimensional scaling (MDS) in recovering the dimensionality of a set of dichotomously-scored items, data were simulated in one, two, and three dimensions for a variety of correlations with the underlying latent trait. Similarity matrices were constructed from these data using three margin-sensitive…