The majority of behavioral analytic interventions reflect European-American values. One useful intervention is discriminated functional communication training (DFCT), which may be implemented to increase the generalizability of functional communication training (FCT). However, the discriminative stimuli used during DFCT may not adequately reflect what is commonly used in various cultures. Thus, the purpose of the current study was to evaluate the effectiveness, feasibility (in the form of training parents to implement), and treatment acceptability of a culturally adapted version of DFCT with Afro-Caribbean families. Three children with ASD along with their mothers participated in the study. Results showed that culturally adapting DFCT was as effective as the traditional procedure in obtaining discriminated manding for 2 of 3 participants. An alternate DFCT procedure used with the third participant was also effective. Also, it was feasible to train parents to implement the intervention. Social validity measures indicated the study incorporated cultural values, and beliefs, and produced favorable effects on replacing problem behavior with discriminated manding that was culturally relevant.

<p>Offering financial services to the unprivileged is a complex task and past attempts have been rather unsuccessful. One commendable effort that has sprung from the failures of commercial banks is microfinance and thanks to innovative ideas microfinance institutions have managed to cope with many of the challenges previously experienced by the formal bank sector in the 1970’s through the 90’s.</p><p>The “new” approach has successfully managed to overcome obstacles such as lack of collateral and information asymmetry. By using joint-liability schemes and by requiring frequent installments microfinance institutions have managed to reduce their risk exposure and by outsourcing the screening process to the borrowers they have dealt with the lack of information on their clients.</p><p>The purpose of this thesis is to investigate what microfinance institutions do that make them more suitable for delivering financial services to the poor. We will look at the supply driven efforts carried out in the past and see how they differ from the demand driven approach taken today.</p><p>We will evaluate some of the most common mechanisms of microfinance and assess their potential contribution to achieving the high repayment rates that many of these institutions obtain today.</p><p>The main finding is that group lending subject to social sanctions should improve the repayment rate. Other mechanisms that may enhance the performance are the use of dynamic incentives and regular repayment schedules. The effect of targeting women and social programs on repayment rates are ambiguous although their empowerment effect is notable.</p><p>By joining forces with NGOs, local authorities and the commercial financial sector microfinance has emerged as a viable poverty reduction tool alongside traditional aid.</p>

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In their challenge-point framework (CPF) Guadagnoli and Lee’s (2004) argue that learning is maximized when a person faces an optimal level of challenge during practice. It is suggested that challenge level can be manipulated through the combination of different practice variables. The purpose of this study was to investigate how practice schedule and self-controlled feedback frequency manipulations affect performance and learning of motor skills. Participants (n=96) attempted to learn three versions of a key-pressing task. The task consisted of pressing five computer keys in specified sequences in a goal criterion time. Participants were assigned to either a blocked practice schedule with self-controlled feedback (BLK-SC), a random practice schedule with self-controlled feedback (RND-SC), a blocked practice schedule with yoked feedback (BLK-YK), a random practice schedule with yoked feedback (RND-YK), a blocked practice schedule and 100 percent feedback (BLK-100), or a random practice schedule with 100 percent feedback (RND-100). Participants in the blocked conditions practiced 30 trials of each task according to a blocked practice schedule. Participants in the random conditions practiced 30 trial of each task according to a random practice schedule. Participants in the self-controlled feedback condition were allowed to choose whether or not to receive feedback on each trial. Yoked participants had their feedback schedule matched to a participant with similar characteristics in the self-control condition. Participants in the 100% feedback condition received feedback after every trial. Participants were also asked to complete the NASA Task Load Index (Hart & Staveland, 1988) and an adapted Perceived Competence for Learning scale (adapted from Williams & Deci, 1996) after the completion of the 5th and 90th trial. After 24 hr participants performed a retention test. The results indicated no difference between groups during retention or for the NASA-TLX and PCL scores. The feedback frequency analysis indicated no differences between BLK-SC and RND-SC groups. In general, the findings of the present study show that the effects of practice schedule conditions can be offset by self-controlled feedback manipulations. They also suggest that a number of different combinations of practice schedules and feedback frequencies can lead to similar challenge levels.

Offering financial services to the unprivileged is a complex task and past attempts have been rather unsuccessful. One commendable effort that has sprung from the failures of commercial banks is microfinance and thanks to innovative ideas microfinance institutions have managed to cope with many of the challenges previously experienced by the formal bank sector in the 1970’s through the 90’s. The “new” approach has successfully managed to overcome obstacles such as lack of collateral and information asymmetry. By using joint-liability schemes and by requiring frequent installments microfinance institutions have managed to reduce their risk exposure and by outsourcing the screening process to the borrowers they have dealt with the lack of information on their clients. The purpose of this thesis is to investigate what microfinance institutions do that make them more suitable for delivering financial services to the poor. We will look at the supply driven efforts carried out in the past and see how they differ from the demand driven approach taken today. We will evaluate some of the most common mechanisms of microfinance and assess their potential contribution to achieving the high repayment rates that many of these institutions obtain today. The main finding is that group lending subject to social sanctions should improve the repayment rate. Other mechanisms that may enhance the performance are the use of dynamic incentives and regular repayment schedules. The effect of targeting women and social programs on repayment rates are ambiguous although their empowerment effect is notable. By joining forces with NGOs, local authorities and the commercial financial sector microfinance has emerged as a viable poverty reduction tool alongside traditional aid.

Presently, owners are interested in evaluating the feasibility of investing in the construction of new building projects based on cost and time constraints. They need to therefore have an idea about the project construction costs, the time required to finish construction of a project in its conceptual phase, and about the implementation of feasibility study. Because due to associated risks, construction cost estimates and schedules are vital to any project. The research’s objective is to develop a methodology that can be used to create an integrated computer model that helps owners and designers generate construction cost estimates, and derive the baseline schedule for any proposed building project at its feasibility stage. All the relevant data used within the model is collected from the literature and is stored in comprehensive databases designed for this purpose. The data is based on 2011 RSMeans publications and consist of around 4,000 previously constructed projects. The model is developed in a Microsoft environment using Microsoft Excel 2007 and Microsoft Project 2007. This model uses deterministic and stochastic approaches to execute all necessary calculations for the conceptual cost estimate and baseline schedule. A deterministic approach relies on realistic data while a stochastic one relies on incorporating the uncertainty and risk available in calculating the cost and duration of any construction building project. The model is user friendly, flexible and executes all the necessary calculations quickly. The successful development of the model would help owners and investors identify the cost and baseline schedule of proposed projects at the early stages of the project life, so that they have an idea of the budget required for construction and the time needed to recover their investment.

The problem of finding a schedule with the lowest makespan in the class of all flowtime-optimal schedules for parallel identical machines is an NP-hard problem. Several approximation algorithms have been suggested for this problem. We focus on algorithms that are fast and easy to implement, rather than on more involved algorithms that might provide tighter approximation bounds. A set of approaches for proving conjectured bounds on performance ratios for such algorithms is outlined. These approaches are used to examine Coffman and Sethi's conjecture for a worst-case bound on the ratio of the makespan of the schedule generated by the LD algorithm to the makespan of the optimal schedule. A significant reduction is achieved in the size of a hypothesised minimal counterexample to this conjecture.

In this study, non-permutation flowshops with missing operations are considered. The primary performance criterion is the total cycle time (i.e. makespan) and the secondary criterion is the total flowtime. In order to obtain the schedule with minimum makespan and minimum total flowtime, non-permutation schedules are being generated instead of permutation ones by permitting multiple jobs bypassing stages where misisng operations occur. A heuristic algorithm has been developed in order to generate non-permutations sequences through those stages. The heuristic algorithm has been compared with the existing heuristic methods in the literature, the ones generating permutation vs. the ones generating non-permutation schedules. Computational analysis is conducted to investigate the effects of certain parameter values such as the number of machines, the number of jobs and the percentage of missing operations. The results demonstrate slight improvement in the makespan as well as a significant improvement in total flowtime of schedules generated by the new heuristic procedure compared to leading non-permutation and permutation schedule generating heuristics, where the percentage of improvement gets higher with larger percentage of missing operations.

Thesis (Ed. D.)--University of Missouri-Columbia, 2000. / Typescript. Vita. Includes bibliographical references (leaves 117-119). Also available on the Internet.

Thesis (Ed. D.)--University of Missouri-Columbia, 2000. / Typescript. Vita. Includes bibliographical references (leaves 117-119). Also available on the Internet.