This paper presents the results of a study dealing with a number of issues regarding real estate investment. Utilizing a data set consisting of real estate transactions, questions relative to the impact of certain variables on the sale price are addressed. This analysis addresses the question of the impact of financial, physical, and location characteristics on the sales price of commercial grade real estate.

This thesis attempts to analyze the relationship between economic growth and human capital investments in Taiwan. The study's general hypothesis is that increases in human capital investments will stimulate the growth of gross national product. The data were drawn from official Taiwanese publications from different sources. The first chapter emphasizes the importance of human capital investments. Chapter II reviews the related literature. Chapter III specifies the model and research methods. Chapter IV analyzes the impact of human capital investments on gross national product. The study is summarized and conclusions are drawn in Chapter V. Materials collected to analyze the above problem reveal that human capital investments have a positive and significant effect on economic growth. In fact, human capital investments and economic growth are mutually affected.

Two teachers with two classes each participated in the research, which used a modified Campbell and Stanley equivalent time series design. Each class was randomly assigned four of eight filmstrips. Both experimental and control classes heard lectures on a module, the experimental group viewed the filmstrip, and both were posttested. Independent variables controlling for student differences, module difficulty, student attitudes, and the critical independent variable, viewing of the filmstrip (View), were regressed on student cognition. In the analysis, significant at the .001 level, View exerted a significant positive influence on cognition scores. No relation was discovered between student attitudes toward filmstrips and increased cognition.

The purpose of this study was to classify unemployment by clearly defined, objectively measured categories which produced a consistent, empirical model identifying the structure of unemployment in Texas during the period 1973 to 1978. The models employed univariate hierarchical regression of Texas montly unemployment rates and changes in unemployment rates on measures of seasonality, cyclical fluctuations, the match of qualified applicants to available openings, and the interaction of these terms. The results of these models were reported.