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The extant literature on the play behavior of youth normalizes adolescent behavior in public space as transgressional, resistant, and in need of social control. The dissertation counters this trend by looking to see if physical qualities, peer effects, and neighborhood context of settings play a deeper role in youth behavior. The study documented urban context, peer effects, physical features, and play behavior across 21 urban settings in New Orleans. Unobtrusive observations employed a highly innovative technique based on YouTube videos and analyzed using hierarchical linear modeling. Coded observations of risk-taking and prosocial behavior demonstrated some stability in behavior amongst adolescents—“youth” ages 12-19—within each site, suggesting that site-specific factors can constrain youth behavior. Yet, more interesting, teens appropriated sites. Specifically, the study found that (a) adolescents consistently adapt play behavior due to settings and (b) that adolescents adapt sites to support play behavior. The latter finding is novel and diverges from normative theory on adolescent behavior by suggesting that teens exercise interdependence when engaging in urban environments away from home and school. Interdependence is a term derived from economics that means mutual dependence upon others for some needs. That adolescents display increased risk-taking behavior in environments with low appropriation and increased prosocial behavior in environments with high appropriation advocates for cities to support adolescent appropriation of urban space.

Recent studies have documented an alarming rate of alcohol use in Japan (Eisenback-Stangl et al., 2005; Milne, 2003; Shimizu, 2000). Indeed, permissive social and cultural norms for alcohol use exist within Japanese culture (Shimizu, 1990, 2000). Japanese college-students may be at further risk due to their developmental time period, where increases in alcohol use are typically seen. Furthermore, drinking habits formed during this time period may be difficult to alter later in life (Frone, 2003). Thus, social, developmental, and cultural factors exist to influence drinking among Japanese college students. The purpose of the current study was to investigate the drinking behaviors of Japanese college students and possible proximal predictors of use. Specifically, given the importance of social relationships and interactions to interdependent cultures, such as Japan, the occurrence of negative social interactions may be influential in predicting subsequent drinking, as individuals may increase drinking in order to adhere to the social norms and to make amends. Hypothesis testing confirmed a significant and positive relationship between negative social events and drinking with others. Furthermore, the expected physical, social and emotional outcomes of alcohol consumption (alcohol outcome expectancies) have been shown to predict alcohol use among U.S. samples (e.g., Goldman, 1994), however, daily fluctuations in the desirability of alcohol outcome expectancies has not been previously investigated in a Japanese sample. Given the importance of fluctuations in desirability of alcohol outcome expectancies among U.S. samples (Armeli et al., 2005), this dissertation investigated daily fluctuations in the desirability of expected outcomes and alcohol use. Support for this relationship was found; on days with individuals experienced increases in the desirability of alcohol outcome expectancies, individuals drank more with others. Support for the hypothesis that increases in daily negative social events would predict increases in the desirability of alcohol outcome expectancies was not found. Finally, this dissertation investigated two types of self-efficacy (drinking refusal self-efficacy and social self-efficacy) as stable factors of drinking. Drinking refusal self-efficacy significantly and negatively predicted drinking with others; marginal support for drinking refusal self-efficacy as a moderator of the relationship between negative social events and drinking with others was found. Social self-efficacy significantly and positively predicted drinking with others. No support was found for social self-efficacy as a moderating variable in the relationship between negative social events and drinking with others. In sum, using data that was previously collected via daily process methodology, this dissertation investigated the relationships between daily negative social interactions, daily desirability of alcohol outcome expectancies, and drinking refusal and social self-efficacy as moderators of alcohol consumption. Support was found for five of the seven hypothesized relationships.

The design of power amplifiers within a circuit simulator requires a good non-linear model that accurately predicts the electormagnetic behaviour of the power transistor. In recent years, a certain class of large signal frequency-dependent black-box behavioural modeling techniques known as Poly-Harmonic Distortion (PHD) models has been devised to mimic the non-linear unmatched RF transistor. These models promise a good prediction of the device behaviour under multi-harmonic periodic continuous wave inputs. This thesis describes the capabilities of the PHD modeling framework and the theoretical type of behaviour that it is capable of predicting. Specifically, the PHD framework cannot necessarily predict the response of a broadband aperiodic signal. This analysis will be performed by deriving the PHD modeling framework as a simplification of the Volterra series kernel functions under the assumption that the power transistor is operating under continuous periodic multi-harmonic voltage and current signals in a stable circuit. A PHD model will be seen as a set of describing functions that predict the response of the Device Under Test (DUT) for any given non-linear periodic continuous-wave inputs that have a specific fundamental frequency. Two popular implementations of PHD models that can be found in the literature are the X-parameter and Cardiff models. Each model formulates the describing functions of the general PHD model differently. The mathematical formulation of the X-parameter and Cardiff models will be discussed in order to provide a theoretical ground for comparing their robustness. The X-parameter model will be seen as the first-order Taylor series approximation of the PHD model describing functions around a Large Signal Operating Point (LSOP) of the device under test. The Cardiff large-signal model uses Fourier series coefficient functions that vary with the magnitude of the large signal(s) as the PHD model describing functions. This thesis will provide a breakdown of the measurement procedure required for the extraction of these models, the challenges involved in the measurement, as well as the mathematical extraction of the model coe cients from measurement data. As each of these models contain have extended versions that enhance the predictive capability of the model under stronger nonlinear modes of operation, a comparison is used to represent the cost of increasing model accuracy as a function of the increasing model complexity for each model. The order of complexity of each model can manifest itself in terms of the mathematical formulation, the number of parameters required and the measurement time that is required to extract each model for a given DUT. This comparison will fairly assess the relative strengths and weaknesses of each model.

The purpose of the study was to investigate relationships among 7th grade students&rsquo / personal goal orientations, perceptions of classroom goal structure, and learning related variables of efficacy, self-handicapping strategies, cheating behavior, and science achievement. This study was carried out during 2006-2007 spring semester at 12 public elementary schools in Ke&ccedil / i&ouml / ren, Ankara. A total of 1950 seventh grade students from 62 classrooms participated in the study. Data were collected through Patterns of Adaptive Learning Scales and Science Achievement Test. Hierarchical Linear Modeling (HLM) analyses were conducted due to the nested structure of data. Results revealed that students who demonstrated high efficacy, high science achievement, low cheating behavior, and low self-handicapping strategies, which were all adaptive learning patterns, had higher mastery goal orientations. Findings regarding performance-approach goal oriented students, focusing on demonstrating their ability, however, were not as straightforward. Performance approach goals were associated with high efficacy and high demonstration of cheating behavior. Class level analyses, on the other hand, revealed that students&rsquo / perception of the classroom goal structure was a significant predictor of personal goal orientations they adopted. While learning environments emphasizing understanding of the material and self-improvement promoted students&rsquo / adoption of mastery goals / learning environments focusing on performance and relative ability of students promoted students&rsquo / adoption of performance-approach goals. The current study, thus, demonstrated the influence of goal structure of the learning environment on students&rsquo / personal goal orientations which in turn found to be related with various learning related variables.

The purpose of the study was to examine the impact of school and student related factors on scientific literacy skills of Turkish students in the Programme for International Student Assessment &amp / #8211 / PISA 2006. 4942, 15 year-old Turkish students from 10 primary schools, 88 general high schools and 66 vocational high schools participated in this assessment. Among the student factors considered were gender, student background, motivational factors, science self belief, value belief regarding science, science-related careers, science teaching and learning, scientific literacy and the environment. Some of the school factors discussed were proportions of girls at school, school size, school academic selectivity, teacher-student ratio, school activities for learning environmental topics and learning of science, quality of educational resources, teacher shortage (negative scale), general high school &amp / #8211 / vocational high school and average class size. The responses of Turkish students and principals from the database of the PISA assessment were used in Hierarchical Linear Modeling (HLM). The result of the study showed that the impact of school and student related factors on scientific literacy skills of the Turkish students varied from school to school. It was observed that the PISA index of economic social and cultural status, general value of science and science self-efficacy impacted on every aspects of the scientific literacy. In addition, it is evident that the general high school students were more successful than the vocational high school students after adjusting for selected student and school characteristics.

The purpose of study is to investigate the effects of school characteristics on students&rsquo / mathematics achievement across Turkey by analyzing the data collected from school questionnaire, student background questionnaire and mathematics achievement test in Trends in International Mathematics and Science Study 2007. The analyzed sample was comprised of 4,498 students in 146 schools. Student level factors were highest level of education of either parent, students speak the language of test at home, students&rsquo / parents born in country, books in home, computer and internet connection, computer use, index of time students spend doing mathematics homework in a normal school week, index of students&rsquo / positive affect toward mathematics, index of students&rsquo / valuing mathematics, index of students&rsquo / self confidence in learning mathematics. School related factors were principals reports on the percentages of students in their schools coming from economically disadvantaged homes, principals report on the percentage of students having the language of test as their native language, index of good attendance, principals time spent on various school related activities, schools encouragement of parental involvement, index of school resources for mathematics instruction, index of principals perception of school climate. Hierarchical Linear Modeling (HLM) was used for analysis. The result of the study showed that 45% of variance between schools, 54.6 % of variance was in schools, 57.33 % of school variance in mathematics achievement accounted by principals&rsquo / report on percentages of students coming from economically disadvantaged homes, parents to volunteer for school programs, school resources for mathematics instruction and principals&rsquo / perception of school climate.

The purposes of this study were to explain the development and validation of a new instrument for assessing elementary students&rsquo / views of the Nature of Science (NOS) and to investigate student and school level factors that help to explain the difference in NOS views. The sample included 3,062 elementary students elementary schools located in &Ccedil / ankaya. Different from these students, 782 elementary students were the sample for the first focus of this study. The Nature of Science Instrument, Learning Approach Questionnaire and Achievement Motivation Questionnaire were administered to the students. Hierarchical Linear Modeling (HLM) was selected as a modeling technique because of the nested structure of the data sets. This study provides an instrument for measuring elementary student views of the NOS regarding four dimensions. In this study, students had different views regarding each dimensions, therefore, many variables have been shown to relate to different dimensions of NOS. This study has established the importance of student socio-economic background with varying learning approaches, self-efficacy, and motivational goals in forming their NOS views. Findings revealed that quality of the physical infrastructure of schools and quality of educational resources in school, parent educational levels, student achievement, self efficacy, experience with meaningful learning, and learning goal orientation are positively related to student NOS views in many different dimensions. Additionally, performance goal orientation and rote learning approaches have negative relationship with different dimensions of student NOS views.

This study investigates the students&rsquo / characteristics and school characteristics and their influences on scientific literacy skills of 15-year-old students across Turkey, Canada, and Sweden, through the use of data from Organisation for Economic Co-operation and Development&rsquo / s (OECD&rsquo / s) Programme for International Student Assessment (PISA) 2006. The purpose of this study is to gain a more complete understanding of the effect of human and physical resource allocations and their interaction on students&rsquo / scientific literacy skills using Hierarchical Linear Modeling (HLM) techniques. By PISA 2006 results, in terms of scientific literacy, Canada is a high performing country whereas Turkey is far below the average and Sweden has a rank in the average. For modeling scientific literacy, student-level characteristics determined by student questionnaire, and school-level characteristics determined by school questionnaire were used. Results of the present study indicated that there were significant between-school differences in scientific literacy skills of students for all three countries. Turkey had the highest between-school variance and it was more than half of the total variance whereas in Canada and Sweden they were far lower. School type and size were common school factors affecting students&rsquo / scientific literacy skills in Canada and Sweden / however, in Turkey school admittance policies, educational resources, science promotional activities, and teacher qualities were school characteristics which have impact on scientific literacy. Enjoyment of learning science, self-efficacy in science, general value given to science, awareness of environmental issues, responsibility for sustainable development, and confidence in use of information technologies were common student factors affecting development of scientific literacy skills in the three countries. Finally, in all three countries cross-level interactions of student and school characteristics for developing scientific literacy skills were observed.

The design of power amplifiers within a circuit simulator requires a good non-linear model that accurately predicts the electormagnetic behaviour of the power transistor. In recent years, a certain class of large signal frequency-dependent black-box behavioural modeling techniques known as Poly-Harmonic Distortion (PHD) models has been devised to mimic the non-linear unmatched RF transistor. These models promise a good prediction of the device behaviour under multi-harmonic periodic continuous wave inputs. This thesis describes the capabilities of the PHD modeling framework and the theoretical type of behaviour that it is capable of predicting. Specifically, the PHD framework cannot necessarily predict the response of a broadband aperiodic signal. This analysis will be performed by deriving the PHD modeling framework as a simplification of the Volterra series kernel functions under the assumption that the power transistor is operating under continuous periodic multi-harmonic voltage and current signals in a stable circuit. A PHD model will be seen as a set of describing functions that predict the response of the Device Under Test (DUT) for any given non-linear periodic continuous-wave inputs that have a specific fundamental frequency. Two popular implementations of PHD models that can be found in the literature are the X-parameter and Cardiff models. Each model formulates the describing functions of the general PHD model differently. The mathematical formulation of the X-parameter and Cardiff models will be discussed in order to provide a theoretical ground for comparing their robustness. The X-parameter model will be seen as the first-order Taylor series approximation of the PHD model describing functions around a Large Signal Operating Point (LSOP) of the device under test. The Cardiff large-signal model uses Fourier series coefficient functions that vary with the magnitude of the large signal(s) as the PHD model describing functions. This thesis will provide a breakdown of the measurement procedure required for the extraction of these models, the challenges involved in the measurement, as well as the mathematical extraction of the model coe cients from measurement data. As each of these models contain have extended versions that enhance the predictive capability of the model under stronger nonlinear modes of operation, a comparison is used to represent the cost of increasing model accuracy as a function of the increasing model complexity for each model. The order of complexity of each model can manifest itself in terms of the mathematical formulation, the number of parameters required and the measurement time that is required to extract each model for a given DUT. This comparison will fairly assess the relative strengths and weaknesses of each model.