Features of AM

AM offers sophisticated statistics with an easy-to-use drag and drop interface, and an integrated help system that explains the statistics as well as how to use the system.
AM includes statistical procedures for analyzing assessment and survey data, including models estimated via marginal maximum likelihood (MML). MML procedures recognize that tests can't pinpoint proficiency, but instead define a probability distribution over the proficiency scale. AM will also analyze the "plausible values" used in programs like NAEP.
AM includes procedures for analyzing non-assessment survey data as well.
All of AM's procedures automatically provides appropriate standard errors for complex samples. All procedures are available with a Taylor-series approximation for the standard errors, and a few offer an option to use a jackknife or other replication technique.
AM is completely free and may be shared and copied. It was developed, in part, with funding from the National Center for Education Statistics.