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Niels G. Waller, University of Minnesota, Minneapolis, Minnesota
MicroFACT is an easy-to-use factor analysis program that can tackle mainframe size problems on your PC quickly! Version 2.0 includes WinMFact, a Windows interface that allows you to build control files by point-and-click and run your analyses! Also included in version 2.0 is an enhanced DOS version of the program that runs the command files created by the Windows interface, or command files that you create independently with a text editor. Version 2.0 also has many other new features.
MicroFACT provides a methodologically defensible and computationally efficient method for factor analysis of both dichotomous and polytomous data sets. Using virtual memory, it can handle analyses of data sets of any size. For dichotomous (i.e., correct/incorrect or keyed/non-keyed) data, MicroFACT can assist you in verifying the dimensionality of your test (which is one of the most basic assumptions of the application of item response theory models). Assessing the dimensionality of a test can be accomplished using a factor analytic approach if appropriate computations are employed. The linear factor analysis model as typically implemented in most statistical packages, however, often fails to use the appropriate measures of correlation for such a factor analysis (tetrachoric correlations). MicroFACT makes it easy to analyze the interrelationships among your test items to determine the number of underlying dimensions. MicroFACT is simple to use and provides detailed (but understandable) results.
For the factor analysis of other types of data, such as polytomous data (i.e., ordered categorical data such as that found in surveys in the social sciences, political science, education, and behavioral sciences, and clinical measures used in medical, psychological and personality research), MicroFACT allows the uses of polychoric correlations, which represents a dramatic step forward in overcoming the biased results produced by the linear factor analysis model. MicroFACT also handles continuously scored and ipsatized item response data.
Also see our selection of other books on Multivariate Analysis