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Manual For Statistical Entailment Analysis 2.0: Sea.Exe

Methods of Multidimensional Guttman Scaling (MGS) represent a major revision of conventional Guttman Scaling techniques (section 10). Questions of scale errors (section 2) and use of errors to measure scalability of variables (section 10) are treated in the context of exceptions to the entailment relationships between variables ("If X is present then Y is present") which constitute the scale. The transitivity of entailments (If X then Y and If Y then Z imply If X then Z) becomes a crucial scaling criterion. Using MGS, as many as 50 dichotomous variables can be examined to define a network of transitive entailments. Unlike earlier approaches to multiple Guttman scaling, MGS gives an integral, relational, and truly multidimensional approach to the implicational scaling of dichotomous items.