Adult education directors' perceptions of performance indicators for adult education programs in the state of Florida

Current demands for accountability in education emphasize outcome-based program evaluation and tie program funding to individual student performance. As has been the case for elementary and secondary programs, demands for accountability have increased pressure on adult educators to show evidence of the benefits of their programs in order to justify their financial support. In Florida, recent legislation fundamentally changes the delivery of adult education in the state by establishing a performance-based funding system that is based on outcomes related to the retention, completion, and employment of program participants.^ A performance-based funding system requires an evaluation process that stresses outcome indicators over indicators that focus on program context or process. Although the state has adopted indicators of program quality to evaluate its adult education programs, these indicators focus mostly on program processes rather than student outcomes. In addition, the indicators are not specifically tied to workforce development outcomes, a priority to federal and local funding agents.^ Improving the accountability of adult education programs and defining the role of these programs in Florida's Workforce Development System has become a priority to policy makers across the state. Another priority has been to involve adult education practitioners in every step of this process.^ This study was conducted in order to determine what performance indicators, as judged by the directors and supervisors of adult education programs in the state of Florida, are important and feasible in measuring the quality and effectiveness of these programs. The results of the study indicated that, both statewide and by region, the respondents consistently gave the highest ratings on both importance and feasibility to the indicators of Program Context, which reflect the needs, composition, and structure of the programs, and to the indicators of Educational Gain, which reflect learner progress in the attainment of basic skills and competencies. In turn, the respondents gave the lowest ratings on both importance and feasibility to the indicators in the areas of Return on State's Investment, Efficiency, Retention, and Workforce Training. In general, the indicators that received high ratings for importance also received high ratings for feasibility. ^

Essays on the Impact of Stakeholders' Sentiment on the Financial Decision Making Process

The most important factor that affects the decision making process in finance is the risk which is usually measured by variance (total risk) or systematic risk (beta). Since investors' sentiment (whether she is an optimist or pessimist) plays a very important role in the choice of beta measure, any decision made for the same asset within the same time horizon will be different for different individuals. In other words, there will neither be homogeneity of beliefs nor the rational expectation prevalent in the market due to behavioral traits. This dissertation consists of three essays. In the first essay, Investor Sentiment and Intrinsic Stock Prices, a new technical trading strategy is developed using a firm specific individual sentiment measure. This behavioral based trading strategy forecasts a range within which a stock price moves in a particular period and can be used for stock trading. Results show that sample firms trade within a range and show signals as to when to buy or sell. The second essay, Managerial Sentiment and the Value of the Firm, examines the effect of managerial sentiment on the project selection process using net present value criterion and also effect of managerial sentiment on the value of firm. Findings show that high sentiment and low sentiment managers obtain different values for the same firm before and after the acceptance of a project. The last essay, Investor Sentiment and Optimal Portfolio Selection, analyzes how the investor sentiment affects the nature and composition of the optimal portfolio as well as the performance measures. Results suggest that the choice of the investor sentiment completely changes the portfolio composition, i.e., the high sentiment investor will have a completely different choice of assets in the portfolio in comparison with the low sentiment investor. The results indicate the practical application of behavioral model based technical indicators for stock trading. Additional insights developed include the valuation of firms with a behavioral component and the importance of distinguishing portfolio performance based on sentiment factors.

Community college faculty commitment to Florida performance -based funding indicators for academic programs

In 1996, the State of Florida implemented a performance-based funding program for the Associate in Arts degree offered by community colleges. Additional funds are allocated for distribution among public community colleges based on performance indicators. The indicators are comprised of 10 performance goals that refer to productivity indexed by overall degree completions as well as subgroups: special disadvantaged populations, transfers, job placements, and education acceleration. ^ This study examined the level of self-reported commitment of community college faculty to the 10 Florida performance-based funding indicators for academic programs. Also examined were the relationships between commitment and (a) self-efficacy in contributing to the achievement of the indicators and (b) personal financial reward expectation for contributing to the achievement of the indicators. The relationships between commitment and (a) gender, (b) academic rank, and (c) types of courses taught were analyzed based on secondary analyses. ^ The participants were 303 full-time faculty members of Miami-Dade Community College who taught courses taken by students pursuing the Associate in Arts degree. A questionnaire was developed to measure commitment, self-efficacy, and expectation of financial reward for each of the 10 indicators. ^ The mean composite commitment score for faculty members who responded to the survey was 4.07 in a scale of 1 to 5. Greater commitment was reported for indicators closely related to the traditional mission of community colleges (i.e., facilitating progress of special groups in earning the AA degree in preparation for transferring to a four-year university). Lower commitment was reported for indicators oriented to State priorities such as education acceleration mechanisms and job placements. Commitment was correlated with three variables: self-efficacy, expectation of financial reward, and types of courses taught. However, commitment was not related to gender and academic rank. Although a cause-effect relationship cannot be inferred from this study, the findings depict a positive relationship between faculty commitment to performance-based funding indicators and faculty self-efficacy to contribute to the achievement of the indicators. ^