- 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.
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