MSc., Faculty of Science, University of the Witwatersrand, 2011 / The study investigates models and processes that could be used by decision-makers to influence policy. The objectives of the study are to illustrate the considerations in the use of information systems and modeling in the context of sustainable development in South Africa. The problem considered is that of measuring South Africa‟s progress toward sustainable development. The study is conducted at a national level. The design uses statistical indicators arranged into a model based information system using the Bellagio principles of 1996. The statistical indicators are assembled from the United Nations 1993 System of National Accounts, UN 1995 Driver-Pressure-State-Impact-Response framework, United Nations 2003 System of integrated Environmental and Economic Accounting, Basel Committee‟s 2004 Basel II framework, and South African Presidency 2010 Developmental indicators frameworks. The South African economy is conceptualised as a dynamic system composed of five types of capital. The fitted model is a vector autoregressive time series model of order p on a set of statistical factors that describe the South African economy. The robustness of the model to assumptions is evaluated using sensitivity and uncertainty analysis. The optimality of the model output for decision making is evaluated using decision theory. The study will facilitate an evidence based approach to managing South Africa‟s progress towards sustainable development.

Thesis (M.S.) University of Missouri-Columbia, 2006. / The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file viewed on (May 20, 2007) Vita. Includes bibliographical references.

Abstract The past few decades has seen increasing agreement identifying approach and avoidance systems as central concepts in the understanding of human behaviour and personality (Carver, 2005; Carver & Scheier, 2000; Elliot, 1999, 2005). The central focus of this thesis lies in exploring the approach system. The approach system focuses on managing appetitive behaviour and represents a general sensitivity to rewarding stimuli. This system is thought to be accompanied by behavioural tendencies towards such rewarding stimuli and consequently, positive outcomes (e.g., Gable, Reis, & Elliot, 2003). This thesis will examine the approach system as portrayed firstly via the Behavioural Approach System (BAS) as part of one of the most recent and influential personality theories; Gray’s Reinforcement Sensitivity Theory (RST; Gray, 1982; Gray & Mc Naughton, 1996; Pickering & Gray, 1999) and secondly, by means of the social cognitive model of goal orientation (Diefendorff & Mehta, 2007; Dweck, 1996; Elliot & Church, 1997). The two constructs of approach goal orientations which will be chiefly discussed in this thesis are mastery approach orientation and performance approach orientation. The main purpose of this thesis is to investigate these three approach constructs in interaction with situational cues and in the prediction of everyday life outcomes. Work context is an important example of everyday life situation; therefore, this thesis aims to investigate the interaction between the three approach constructs and rewarding climates (situational cues) in the prediction of work outcomes. This thesis therefore contains two parts; the first part will investigate the Behavioural Approach System (BAS) and the second part will investigate performance approach and mastery approach orientations. The first part contains two chapters -two self contained papers- and the second part contains three chapters -three self contained papersix Each paper form it’s own individual chapter. In each chapter, the controversies and ambiguities in theoretical and practical implications involved in the construct will be discussed. In addition, major findings as well as limitations and practical implications will be discussed at the end of each chapter. Following as introduction is a brief review of each chapter.

Thesis (M.S.)--Ohio University, August, 2004. / Includes bibliographical references (p. 185-187).

Thesis (Ph. D.)--Missouri University of Science and Technology, 2008. / Vita. The entire thesis text is included in file. Title from title screen of thesis/dissertation PDF file (viewed May 28, 2009) Includes bibliographical references.

Thesis (M.S.)--Missouri University of Science and Technology, 2008. / Vita. The entire thesis text is included in file. Title from title screen of thesis/dissertation PDF file (viewed June 5, 2009) Includes bibliographical references (p. 126-132).

Zugl.: Bonn, Univ., Diss., 2008

Thesis (M.S.)--Ohio University, August, 2004. / Title from PDF t.p. Includes bibliographical references (p. 185-187)

No description available.

The following thesis presents the results of a mixed-design study (quasi-experimental and true experimental) testing an integrated model of human risk-taking behavior, defined statistically as a preference for variance in outcomes. The research presented examines the relationships among early-life environmental conditions (i.e., harshness and unpredictability), life-history strategy, and risk-taking behavior for primary resources under various "resource-budget" conditions consisting of deprivation and non-deprivation in two areas: (1) Social-inclusion and (2) caloric "Energy-budget." Two hundred and forty seven (N=247) university students participated in the research. In session one, participants completed multiple questionnaires assessing levels of environmental harshness and unpredictability experienced during development and individual life-history strategy. In session two, participants were pseudo-randomly assigned to experience laboratory induced deprivation or non-deprivation in one of two possible areas: Social-inclusion or caloric "Energy-budget." Following the experimental manipulations, participants played two different behavioral risk-taking tasks: (1) The Wheel Spin Risk Task which required participants to select between a low variance "safe" wheel and a high variance "risky" wheel in an attempt to earn either points or food rewards (depending upon study condition). (2) The Operant Risk Taking Task which required participants to select between a low variance "safe" keyboard key which produced constant rewards and a high variance "risky" keyboard key which produced variable rewards (points or food, depending upon study condition). The results of the multivariate analyses supported main effects only (no moderation) between the characteristics of the early-life environment, life-history strategy, and the experimental manipulations on risk-taking behavior. Specifically, early-life harshness was significantly associated with a faster life-history strategy in participants. Participants with a faster life-history strategy were significantly more likely to select the risky spin wheel on the Wheel Spin Risk Task than were slower life-history strategy participants who were more likely to select the safe spin wheel. Furthermore, participants who experienced the deprivation experimental manipulations behaved more risky on the Operant Risk-Taking Task (for reward amount) than did participants exposed to the non-deprivation manipulations in the study. Interestingly, this effect was domain-general in that deprivation in either Social-inclusion or Energy-budget was associated with risk taking for both social points and for food rewards. The results of this study suggest that life-history strategy is predictive of instrumental risk-taking behavior for reward amount and that deprivation in adaptive areas like Social-inclusion and Energy-budget enhances risk-taking behavior for primary rewards in a domain-general manner as opposed to a domain-specific manner.