|aLinear causal modeling with structural equations /|cStanley A. Mulaik.
|aBoca Raton :|bChapman & Hall/CRC,|cc2009.
|axxiii, 444 p. :|bill. ;|c25 cm.
|aChapman & Hall/CRC statistics in the social and behavioral sciences series
|aIncludes bibliographical references and index.
|aScalar algebra -- Vectors -- N-tuples as vectors -- Equality of vectors -- Scalars and vectors -- Multiplying a vector by a scalar -- Addition of vectors -- Scalar product of vectors -- Distance between vectors -- Length of a vector -- Another definition for scalar multiplication -- Cosine of the angle between vectors -- Projection of a vector onto another vector -- Types of special vectors -- Linear combinations -- Linear independence.
|a"By emphasizing causation as a functional relation between variables describing objects, with a variable a synthesis of a set of mutually exclusive attributes, Linear Causal Modeling with Structural Equations integrates a general philosophical theory of causation with structural equation modeling (SEM), focusing on the special case of linear causal relations. In addition to describing how the functional relation concept may be generalized to probabilistic causation, the book reviews historical treatments of causation and recent developments in experimental psychology on studies of the perception of causation. It stresses hypothesis testing to acquire objective knowledge."--BOOK JACKET.