20 resultados para Goodness of fit
Resumo:
In an effort to improve instruction and better accommodate the needs of students, community colleges are offering courses delivered in a variety of delivery formats that require students to have some level of technology fluency to be successful in the course. This study was conducted to investigate the relationship between student socioeconomic status (SES), course delivery method, and course type on enrollment, final course grades, course completion status, and course passing status at a state college. ^ A dataset for 20,456 students of low and not low SES enrolled in science, technology, engineering, and mathematics (STEM) course types delivered using traditional, online, blended, and web enhanced course delivery formats at Miami Dade College, a large open access 4-year state college located in Miami-Dade County, Florida, was analyzed. A factorial ANOVA using course type, course delivery method, and student SES found no significant differences in final course grades when used to determine if course delivery methods were equally effective for students of low and not low SES taking STEM course types. Additionally, three chi-square goodness-of-fit tests were used to investigate for differences in enrollment, course completion and course passing status by SES, course type, and course delivery method. The findings of the chi-square tests indicated that: (a) there were significant differences in enrollment by SES and course delivery methods for the Engineering/Technology, Math, and overall course types but not for the Natural Science course type and (b) there were no significant differences in course completion status and course passing status by SES and course types overall and SES and course delivery methods overall. However, there were statistically significant but weak relationships between course passing status, SES and the math course type as well as between course passing status, SES, and online and traditional course delivery methods. ^ The mixed findings in the study indicate that strides have been made in closing the theoretical gap in education and technology skills that may exist for students of different SES levels. MDC's course delivery and student support models may assist other institutions address student success in courses that necessitate students having some level of technology fluency. ^
Resumo:
Prior research has established that idiosyncratic volatility of the securities prices exhibits a positive trend. This trend and other factors have made the merits of investment diversification and portfolio construction more compelling. A new optimization technique, a greedy algorithm, is proposed to optimize the weights of assets in a portfolio. The main benefits of using this algorithm are to: a) increase the efficiency of the portfolio optimization process, b) implement large-scale optimizations, and c) improve the resulting optimal weights. In addition, the technique utilizes a novel approach in the construction of a time-varying covariance matrix. This involves the application of a modified integrated dynamic conditional correlation GARCH (IDCC - GARCH) model to account for the dynamics of the conditional covariance matrices that are employed. The stochastic aspects of the expected return of the securities are integrated into the technique through Monte Carlo simulations. Instead of representing the expected returns as deterministic values, they are assigned simulated values based on their historical measures. The time-series of the securities are fitted into a probability distribution that matches the time-series characteristics using the Anderson-Darling goodness-of-fit criterion. Simulated and actual data sets are used to further generalize the results. Employing the S&P500 securities as the base, 2000 simulated data sets are created using Monte Carlo simulation. In addition, the Russell 1000 securities are used to generate 50 sample data sets. The results indicate an increase in risk-return performance. Choosing the Value-at-Risk (VaR) as the criterion and the Crystal Ball portfolio optimizer, a commercial product currently available on the market, as the comparison for benchmarking, the new greedy technique clearly outperforms others using a sample of the S&P500 and the Russell 1000 securities. The resulting improvements in performance are consistent among five securities selection methods (maximum, minimum, random, absolute minimum, and absolute maximum) and three covariance structures (unconditional, orthogonal GARCH, and integrated dynamic conditional GARCH).
Resumo:
This research explored the thesis that organizational personality is related to applicants’ attraction to an organization through a process which involves need motivation, expectancy beliefs, and applicants’ perceptions of person-organization fit. Organizational personality may be defined as a collection of trait-like characteristics that individuals use to describe organizational practices, policies, values, and culture. Specifically, this research investigated the hypothesis that organizational personality information is useful to applicants because it helps individuals to determine their perceptions of fit. A sample of students (N = 198) and working adults (N = 198) participated in an online experiment. Findings indicated that individuals’ beliefs about the instrumentality of desirable work related outcomes are essential to determining their perceptions of fit and organizational attraction. Additionally, organizational personality perceptions interacted with need motivation to affect perceptions of fit and organizational attraction. For instance, perceptions of fit mediated the influence of the interaction between need for achievement and perceptions of innovativeness on organizational attraction. The interaction of need motivation and perceptions of organizational personality helped individuals to better determine their perceptions of fit and subsequent attraction toward organizations.^
Resumo:
Taking a respected brand name and placing it on a new product has become a popular strategy for leveraging the name's equity and goodwill. Current research has indicated that the success of doing so depends in part on the perceived “fit” between the core brand and the extension. When the name is extended to a closely related product category, consumers are very likely to transfer their favorable attitudes toward the core to the extension. However, as the perceived fit declines, this transfer becomes less likely. ^ This dissertation examined whether particular advertising tactics (e.g., using a common endorser or logo for the core and the extension) could enhance perceived fit between the core brand and its extension, thus leading to more favorable attitudes toward the extension than would otherwise occur. The sample was undergraduate students from universities in the southeast. The generating mechanism tested was that the transfer of associations between core brand and extension would enhance the overlap of associations between the core brand and the potential extension. ^ Research questions were analyzed using a 3 (levels of fit) x 3 (treatments) x 2 (replicate) experiment. The data analysis was conducted with repeated measures ANOVA's, UNIVARIATE ANOVA's, UNIVARIATE ANCOVA'S, and planned linear contrasts. ^ The results, except for the hypotheses on fit as a mediator of extension attitude, do not indicate that the presence of an endorser or brand mark closely aligned with the core brand enhanced perceived fit between core brand and extension. ^
Resumo:
The purpose of this study is to validate the Study Behavior Inventory-High School, an instrument designed to measure study behaviors of high school students and to determine the stability of its scores across populations and across grades. Numerous studies have shown the relationship between the level of students' use of appropriate study behaviors and their levels of academic achievement and this is particularly relevant at a time of increasing demands for school and teacher accountability for their students' academic achievement. ^ The instrument was administered to 3,336 students in grades 9 through 12 in four high schools in diverse parts of the United States. Factor analysis yielded a four factor structure for the instrument and evidence for its construct validity was obtained using convergent and discriminant methods. The four factors include academic self-perception and feelings of low self-efficacy, academic preparation behaviors, time management, and the social nature of taking tests and studying. Internal consistency reliability for the scores on each of the four factors was calculated and found to range between .68 and .87. Finally, confirmatory factor analysis indicated acceptable levels of fit between the factor structure obtained in this study and an earlier one obtained during a pilot study using 800 participants. ^ The SBI-HS appears to be a valid and reliable instrument for the measure of study behaviors in high school students. ^