Abstract
AMOS implements structural modeling. Conceived by James Arbuckle, a psychometrician, as a vehicle for teaching causal analysis, AMOS has evolved into a powerful research environment that eases even nonstatisticians into this important arsenal of tools. AMOS supports structural modeling through maximum likelihood, unweighted least- squares, generalized least squares, Browne's asymptotically distribution-free criterion, and scale-free least-squares. It uses built-in bootstrapping (resampling) to derive standard errors and confidence intervals for sample means, variances, covariances, correlations, and other estimates. Given the researcher's specification of a path diagram, AMOS estimates the path parameters in diagrammatic form, which can be exported to either word processors or graphics programs. The AMOS environment also provides a graphical method for teaching statistics, from hypothesis tests of means through analysis of covariance, multiple regression, and factor analysis, all within the unifying framework of the structural equation modeling perspective.
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