U.S. health care system with emphasis on issues relating to unequal access to health services. An analysis of how the system should work. Special attention to controversial issues, including managed care and health insurance. How other countries design health systems. (Gen.Ed. SB, DU)

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Credit, variable; may be repeated for additional credit.

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Structural equation modeling (SEM) refers to a family of methods that all involve tests of a priori statistical models of covariances. Another term for SEM is the analysis of covariance structures. SEM is most useful when the researcher has multiple indicators of many constructs and wishes to test the appropriateness of complex hypothesized networks among these constructs. SEM subsumes many more familiar techniques - for instance, simple and multiple regression analysis, and exploratory factor analysis. However, SEM also provides powerful generalizations of these techniques.

Structural equation modeling (SEM) refers to a family of methods that all involve tests of a priori statistical models of covariances. Another term for SEM is the analysis of covariance structures. SEM is most useful when the researcher has multiple indicators of many constructs and wishes to test the appropriateness of complex hypothesized networks among these constructs. SEM subsumes many more familiar techniques - for instance, simple and multiple regression analysis, and exploratory factor analysis. However, SEM also provides powerful generalizations of these techniques.

Description not available at this time

What makes each of us a unique and distinct individual? This seminar course explores selected topics in the area of individual differences and variations across the lifespan, with particular emphasis on humans (but with some consideration of non-human animals and non-animal systems as models for advancing understanding). We will explore behavior, thought, emotion, and biological levels of analysis.