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The current study examined two means of reducing uncertainty in visual search: 1) visual relatedness of a prime to the target (a data-driven, bottom-up processing) and 2) expectancy (a top-down process based on the proportion of validly primed trials). The two processes were decoupled using a short and a long inter-stimulus interval (ISI) to examine their time course in visual search. Competing hypotheses were contrasted in order to determine whether relatedness is associated with iconic memory (Neely, 1977) or a longer lasting visual-structural implicit memory (Schacter and Cooper, 1995) and what role participant expectancy plays in visual search performance. Twelve participants engaged in a discrimination task and a visual search task. The obtained results suggest that visual relatedness is a bottom-up process, probably mediated by a short-term iconic store that affects search performance early, but whose effects rapidly decay. They also suggest that expectancy is a top-down process that requires time to build up before it can affect visual search performance, but whose effects are more long lasting than visual relatedness.

School-based physical education (PE) has been identified as an effective avenue for addressing issues of inactivity among adolescent girls. However, often times PE courses fail to meet the needs of young women and instead lead to disaffection; ultimately resulting in the majority of adolescent girls dropping out of PE once it is no longer mandatory. Self-Determination Theory (SDT) has proven to be a useful framework for understanding PE motivation among this population. In particular, supporting the need for relatedness among female PE students appears significant for enhancing PE motivation and engagement. Therefore, providing relatedness-supportive learning environments may be an effective way for teachers to encourage continued PE and PA participation among their female students. The purpose of this research study was to gain insight into the experiences of grade 9 and 10 girls participating in a girls-only PE course that employed relatedness-supportive teaching strategies. The goal was to use a case study approach with semi-structured (teacher) and focus group interviews (students) to explore the role of relatedness-supportive learning environments in enhancing PE motivation and enjoyment among adolescent girls, as well as their overall feelings of social relatedness. Findings highlighted the importance of (a) meeting students where they are at, (b) creating open, respectful and active environments, (c) providing opportunities for organic connection-making, and (c) the role of resource and curriculum constraints. / Graduate / 2019-04-12

For many years, researchers and educators have been concerned about achievement scores but seemed less interested in students’ happiness and psychological well-being at school. However, students’ psychological well-being experiences may facilitate students’ adjustment and ultimately lead to academic achievement. It can be assumed that students’ different motivational and well-being experiences in each course would contribute to students’ overall psychological well-being. The purpose of this study was to investigate how and why students experience different levels and kinds of motivation and well-being across courses. As the preliminary and important ground to allow me to address this purpose, I needed to establish first whether students experienced different levels of academic motivation and course well-being across the courses they were taking. A total of 505 students participated in this study and provided information about 1817 courses they were taking. The participants come from a subject pool of one department that attracted students from diverse majors. Multilevel modeling was used to explore different situational (Level 1) and personal experiences (Level 2) of motivation and course well-being across courses and across students. The unconditional model showed variability of perceptions at Levels 1 and 2 indicating that students did vary in their reports across courses and that nevertheless, there were individual differences across students in their aggregate experiences. The conditional model was used to test what course characteristics were associated with motivational and well-being indicators at the situational level. Course characteristics were taken from different constructs: course value, classroom structure, teacher characteristics, classroom goal structure, and a caring classroom climate. Predictors at the personal level included students’ sex and their perceptions of general needs for relatedness, general relatedness need fulfillment in everyday life, and personal growth. Having supported the preliminary hypothesis with the unconditional model that there was variance both within student and between students, I used the conditional model and found that various course characteristics were differently associated with academic motivation and course well-being. Overall, results addressed that teacher characteristics and a caring classroom climate were strongly associated with all the different kinds of motivational and course well-being indicators. Students’ personal characteristics were, also, differently related to these outcomes. / text

The purpose of this study was to identify significant relationships betweenidentity threat, relatedness or sense of belongingness, and academic achievement in asample of minority college students who were enrolled in an underrepresented academicfield in higher education. Our sample included 56 Hispanic students enrolled in an Organic Chemistry class at a Southwest University. Findings show that Ethnic Sense ofBelongingness positively predicted Classroom Sense of Belongingness, which in turnpredicted Effort. This relationship was also impacted by students' perceptions of Self-Efficacy to Achieve, Teacher Trust and Academic Support, and Intrinsic Motivation andKnow and Accomplish. Overall, findings highlight the influence of ethnic sense ofbelongingness at school, in achievement and motivational processes in the classroom.

This paper uses event history analysis to investigate the effects of relatedness on three different outcomes of corporate venturing, identified as retention, termination, and spin-off. For this purpose, relatedness is defined as the degree to which the venture’s activity matches or overlaps with the parent’s activity. Drawing from literature on relational fit, we argue that highly related ventures would be retained, moderately related ones spun off, and unrelated ones would be probable candidates for termination. However, highly related ventures may be likely to pose internal threat to the parent, and consequently be candidates for termination for political reasons as well. This raises the average level of relatedness of terminated ventures above the average of spin-offs. The empirical findings derived from a sample consisting of 78 ventures launched and developed by a number of companies across the Swedish economy give support to our expectations. The highly related ventures were found to be either terminated or retained, moderately related ones were likely to be spun off, and unrelated ones typically faced termination. This supports our hypothesis that relatedness has an impact on how the internal venture is dealt with. We follow with implications for the practice of corporate venturing management.

Anolis carolinensis has been a model organism for ecology and evolutionary biology since the seventies, yet there are still understudied aspects of their ecology. A five-year study has provided microsatellite genotypes to be used in building a pedigree and assess relatedness, enabling us to evaluate the spatial distribution of an urban population of A. carolinensis. Results indicate no correlation between a male’s size and the distance others keep from it; however, males belonging in the heavyweight morph are dictating the spatial distribution in this population. In addition, juvenile dispersal of male offspring and partial philopatry of female offspring are key in this dynamic, where a single heavyweight male will actively defend a small area that contains multiple females, some of which are be daughters, and multiple unrelated males, most likely sneaker males.

Measures of semantic distance have received a great deal of attention recently in the field of computational lexical semantics. Although techniques for approximating the semantic distance of two concepts have existed for several decades, the introduction of the WordNet lexical database and improvements in corpus analysis have enabled significant improvements in semantic distance measures. <br /><br /> In this study we investigate a special kind of semantic distance, called <em>semantic relatedness</em>. Lexical semantic relatedness measures have proved to be useful for a number of applications, such as word sense disambiguation and real-word spelling error correction. Most relatedness measures rely on the observation that the shortest path between nodes in a semantic network provides a representation of the relationship between two concepts. The strength of relatedness is computed in terms of this path. <br /><br /> This dissertation makes several significant contributions to the study of semantic relatedness. We describe a new measure that calculates semantic relatedness as a function of the shortest path in a semantic network. The proposed measure achieves better results than other standard measures and yet is much simpler than previous models. The proposed measure is shown to achieve a correlation of <em>r</em> = 0. 897 with the judgments of human test subjects using a standard benchmark data set, representing the best performance reported in the literature. We also provide a general formal description for a class of semantic distance measures &mdash; namely, those measures that compute semantic distance from the shortest path in a semantic network. Lastly, we suggest a new methodology for developing path-based semantic distance measures that would limit the possibility of unnecessary complexity in future measures.

This study examined autonomy and relatedness in mother adolescent interactions as longitudinal predictors of adolescent involvement in dating aggression. Research indicates that dating aggression, defined as perpetration and/or victimization of physical, psychological, or sexual aggression, affects one-third to two-thirds of adolescents. Most studies of adolescent dating aggression have been cross-sectional, have lacked a developmental theoretical perspective, and have not adequately investigated contextual differences in dating aggression. This study adds to the existing literature in that it applies a developmental framework to a multi-method, longitudinal study (n=88) of adolescent dating aggression. Adolescents’ and their mothers’ demonstrations of support for and inhibition of autonomy and relatedness during a coded interaction task observed when adolescents were 16 years old were examined as predictors of adolescents’ reports of perpetration and victimization of physical and psychological aggression two years later, exploring gender, race/ethnicity, and environmental risk as moderators. It was expected that promotion of autonomy and relatedness would be negatively related to adolescent reports of involvement in dating aggression, whereas inhibition of autonomy and relatedness would be positively related to adolescent reports of dating aggression. Hierarchical multiple regressions revealed that, as expected, maternal inhibition of relatedness predicted slight increases in reports of psychological perpetration and victimization. However, maternal support for autonomy was related to increases in perpetration of psychological aggression for all adolescents and increases in perpetration and victimization of physical aggression for girls, but not boys. Adolescent support for autonomy was related to increases in perpetration of physical aggression only for environmentally at-risk teens and to increases in psychological perpetration for racial/ethnic minority participants, but not for Caucasians. It was also found that girls reported more physical and psychological perpetration than boys, and that racial/ethnic minority participants reported more physical perpetration than Caucasians. Results indicate that autonomy is a dynamic developmental process that operates differently as a function of the various ecological contexts in which adolescents live, as marked by gender, race/ethnicity, and risk, in predicting adolescent involvement in dating aggression.

Measures of semantic distance have received a great deal of attention recently in the field of computational lexical semantics. Although techniques for approximating the semantic distance of two concepts have existed for several decades, the introduction of the WordNet lexical database and improvements in corpus analysis have enabled significant improvements in semantic distance measures. <br /><br /> In this study we investigate a special kind of semantic distance, called <em>semantic relatedness</em>. Lexical semantic relatedness measures have proved to be useful for a number of applications, such as word sense disambiguation and real-word spelling error correction. Most relatedness measures rely on the observation that the shortest path between nodes in a semantic network provides a representation of the relationship between two concepts. The strength of relatedness is computed in terms of this path. <br /><br /> This dissertation makes several significant contributions to the study of semantic relatedness. We describe a new measure that calculates semantic relatedness as a function of the shortest path in a semantic network. The proposed measure achieves better results than other standard measures and yet is much simpler than previous models. The proposed measure is shown to achieve a correlation of <em>r</em> = 0. 897 with the judgments of human test subjects using a standard benchmark data set, representing the best performance reported in the literature. We also provide a general formal description for a class of semantic distance measures &mdash; namely, those measures that compute semantic distance from the shortest path in a semantic network. Lastly, we suggest a new methodology for developing path-based semantic distance measures that would limit the possibility of unnecessary complexity in future measures.