Typescript, etc. / Digitized by Kansas Correctional Industries

Thesis (Ph. D.)--University of Washington, 1992. / Vita. Includes bibliographical references (leaves [150]-155).

Structural Equation Modeling is a common name for the statistical analysis of Structural Equation Models. Structural Equation Models are models that specify relationships between a set of variables and can be specified by means of path diagrams. A number of Structural Equation Modeling programs have been developed. These include, amongst others, AMOS, EQS, LISREL, Mx, RAMONA and SEPATH. A number of studies have been published on the use of some of the applications mentioned above. They include, amongst others, Brown (1986), Waller (1993) and Kano (1997). Structural Equation Models are increasingly being used in the social, economic and behavioral sciences. More and more people are therefore making use of one or more of the Structural Equation Modeling applications on the market. This study is performed with the aim of using each of the Structural Equation Modeling applications AMOS, EQS, LISREL, Mx, RAMONA and SEPATH for the first time and document the experience, joy and the difficulties encountered while using them. This treatise is different from the comparisons already published in that it is based on the use of AMOS, EQS, LISREL, Mx, RAMONA and SEPATH to fit a Structural Equation Model for peer influences on ambition, which is specified for data obtained by Duncan, Haller and Portes (1971), by myself as a first time user of each of the programs mentioned. The impressive features as well as the difficulties encountered are listed for each application. Recommendations for possible improvements to the various applications are also proposed. Finally, recommendations for future studies on the use of Structural Equation Modeling programs are made.

Typescript (photocopy). / Digitized by Kansas Correctional Industries / Department: Statistics.

This paper reports on the implementation and utilization of a micro-computer based simulation modeling verification and validation tool. The interactive software tool, written in BASIC, computes and displays the frequency distribution of a given set of input data, computes appropriate parameters for a continuous statistical distribution which the user selects as likely to represent the population from which the input data sample was obtained, performs several goodness-of-fit analyses on the resultant distribution and provides sensitivity analysis capability on the input data, distribution type selection and distribution parameters.