The problem of assessment and diagnosis of depression in the elderly begins with the definition of depression being indefinite. In this study, the theory of learned helplessness was chosen because of its value in organizing research within a learning theory framework. The Beck Depression Inventory, measures of fluid and crystallized intellectual ability, locus of control, and attribution of success and failure were chosen as variables for an exploratory factor analysis. The purpose of selecting these variables was to assess the cognitive, motivational, and affective components of learned helplessness as they affected the responses of elderly subjects to depression items. Self report measures of income, education, and health, were included to assess the relationship of these variables to depression. A somatic factor was predicted to correlate with an affective factor of depression.

Few areas of research in the finance literature have received greater attention than the efficient market hypothesis. Much of the research has been directed toward the securities market while very little research has been done in the real estate markets. The existing research on real estate market efficiency has been either descriptive or illustrative with very little empirical testing being performed. The major reason for the lack of empirical testing has been the inability to develop an adequate data base. The results of the empirical work that has been done do not support the widely held belief that real estate markets are inefficient. This study, using the autoregressive-integrative-moving average (ARIMA) time series analysis technique, tests the weak-form efficiency of the Dallas-Fort Worth office properties real estate market. According to the weak-form efficient market hypothesis, all price information should be capitalized into current real estate prices and not provide the basis for earning abnormal returns in trading. Price data formed from office building sales dating from January, 1979 to January, 1985 are used to test the market. The data was gathered from the files of several professional appraisal firms located in the Dallas-Fort Worth area. The transaction information includes (1) transaction …